Overview

Dataset statistics

Number of variables122
Number of observations1091
Missing cells21
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory976.1 B

Variable types

Numeric4
Categorical118

Warnings

COGNITIVE EXAM 120-161: (160) SUBTRACTING SEVENS has 17 (1.6%) missing values Missing
OPTIMA DIAGNOSES V 2010: DIAGNOSTIC CODE is highly skewed (γ1 = 33.01098161) Skewed
df_index has unique values Unique
COGNITIVE EXAM 120-161: (160) SUBTRACTING SEVENS has 85 (7.8%) zeros Zeros
OPTIMA DIAGNOSES V 2010: DIAGNOSTIC CODE has 52 (4.8%) zeros Zeros

Reproduction

Analysis started2021-03-31 13:31:59.239718
Analysis finished2021-03-31 13:33:19.861611
Duration1 minute and 20.62 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct1091
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4554.260312
Minimum113
Maximum9581
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-03-31T15:33:19.951396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum113
5-th percentile319
Q11785
median4051
Q37520.5
95-th percentile9399.5
Maximum9581
Range9468
Interquartile range (IQR)5735.5

Descriptive statistics

Standard deviation3061.49379
Coefficient of variation (CV)0.6722263507
Kurtosis-1.276745682
Mean4554.260312
Median Absolute Deviation (MAD)2659
Skewness0.2319043831
Sum4968698
Variance9372744.224
MonotocityStrictly increasing
2021-03-31T15:33:20.085934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61431
 
0.1%
6691
 
0.1%
47581
 
0.1%
6631
 
0.1%
47601
 
0.1%
6651
 
0.1%
47621
 
0.1%
6671
 
0.1%
6711
 
0.1%
94311
 
0.1%
Other values (1081)1081
99.1%
ValueCountFrequency (%)
1131
0.1%
1141
0.1%
1161
0.1%
1171
0.1%
1181
0.1%
ValueCountFrequency (%)
95811
0.1%
95801
0.1%
95791
0.1%
95771
0.1%
95721
0.1%

Age At Episode
Real number (ℝ≥0)

Distinct46
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.26214482
Minimum51
Maximum96
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-03-31T15:33:20.218157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile61
Q171
median78
Q384
95-th percentile90
Maximum96
Range45
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.7189042
Coefficient of variation (CV)0.1128483324
Kurtosis-0.2031759013
Mean77.26214482
Median Absolute Deviation (MAD)6
Skewness-0.4804473532
Sum84293
Variance76.01929044
MonotocityNot monotonic
2021-03-31T15:33:20.340445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8556
 
5.1%
8253
 
4.9%
7852
 
4.8%
7949
 
4.5%
7648
 
4.4%
8048
 
4.4%
7747
 
4.3%
8445
 
4.1%
8643
 
3.9%
8340
 
3.7%
Other values (36)610
55.9%
ValueCountFrequency (%)
512
 
0.2%
522
 
0.2%
531
 
0.1%
542
 
0.2%
555
0.5%
ValueCountFrequency (%)
961
 
0.1%
951
 
0.1%
946
0.5%
9311
1.0%
9211
1.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Done
857 
Mmse only
232 
Not asked
 
2

Length

Max length9
Median length4
Mean length5.072410632
Min length4

Characters and Unicode

Total characters5534
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMmse only
2nd rowDone
3rd rowMmse only
4th rowMmse only
5th rowDone
ValueCountFrequency (%)
Done857
78.6%
Mmse only232
 
21.3%
Not asked2
 
0.2%
2021-03-31T15:33:20.570212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:20.646618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
done857
64.7%
only232
 
17.5%
mmse232
 
17.5%
not2
 
0.2%
asked2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
e1091
19.7%
o1091
19.7%
n1089
19.7%
D857
15.5%
s234
 
4.2%
234
 
4.2%
M232
 
4.2%
m232
 
4.2%
l232
 
4.2%
y232
 
4.2%
Other values (5)10
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4209
76.1%
Uppercase Letter1091
 
19.7%
Space Separator234
 
4.2%

Most frequent character per category

ValueCountFrequency (%)
e1091
25.9%
o1091
25.9%
n1089
25.9%
s234
 
5.6%
m232
 
5.5%
l232
 
5.5%
y232
 
5.5%
t2
 
< 0.1%
a2
 
< 0.1%
k2
 
< 0.1%
ValueCountFrequency (%)
D857
78.6%
M232
 
21.3%
N2
 
0.2%
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5300
95.8%
Common234
 
4.2%

Most frequent character per script

ValueCountFrequency (%)
e1091
20.6%
o1091
20.6%
n1089
20.5%
D857
16.2%
s234
 
4.4%
M232
 
4.4%
m232
 
4.4%
l232
 
4.4%
y232
 
4.4%
N2
 
< 0.1%
Other values (4)8
 
0.2%
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5534
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1091
19.7%
o1091
19.7%
n1089
19.7%
D857
15.5%
s234
 
4.2%
234
 
4.2%
M232
 
4.2%
m232
 
4.2%
l232
 
4.2%
y232
 
4.2%
Other values (5)10
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
757 
Incorrect
333 
Not asked
 
1

Length

Max length9
Median length7
Mean length7.61228231
Min length7

Characters and Unicode

Total characters8305
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct757
69.4%
Incorrect333
30.5%
Not asked1
 
0.1%
2021-03-31T15:33:20.850023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:20.932248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct757
69.3%
incorrect333
30.5%
not1
 
0.1%
asked1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
r2180
26.2%
c1423
17.1%
o1091
13.1%
e1091
13.1%
t1091
13.1%
C757
 
9.1%
I333
 
4.0%
n333
 
4.0%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7213
86.9%
Uppercase Letter1091
 
13.1%
Space Separator1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2180
30.2%
c1423
19.7%
o1091
15.1%
e1091
15.1%
t1091
15.1%
n333
 
4.6%
a1
 
< 0.1%
s1
 
< 0.1%
k1
 
< 0.1%
d1
 
< 0.1%
ValueCountFrequency (%)
C757
69.4%
I333
30.5%
N1
 
0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8304
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2180
26.3%
c1423
17.1%
o1091
13.1%
e1091
13.1%
t1091
13.1%
C757
 
9.1%
I333
 
4.0%
n333
 
4.0%
N1
 
< 0.1%
a1
 
< 0.1%
Other values (3)3
 
< 0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8305
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2180
26.2%
c1423
17.1%
o1091
13.1%
e1091
13.1%
t1091
13.1%
C757
 
9.1%
I333
 
4.0%
n333
 
4.0%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
< 0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
625 
Correct
465 
Not asked
 
1

Length

Max length9
Median length9
Mean length8.147571036
Min length7

Characters and Unicode

Total characters8889
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowIncorrect
ValueCountFrequency (%)
Incorrect625
57.3%
Correct465
42.6%
Not asked1
 
0.1%
2021-03-31T15:33:21.170545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:21.271757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect625
57.2%
correct465
42.6%
not1
 
0.1%
asked1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
r2180
24.5%
c1715
19.3%
o1091
12.3%
e1091
12.3%
t1091
12.3%
I625
 
7.0%
n625
 
7.0%
C465
 
5.2%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7797
87.7%
Uppercase Letter1091
 
12.3%
Space Separator1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2180
28.0%
c1715
22.0%
o1091
14.0%
e1091
14.0%
t1091
14.0%
n625
 
8.0%
a1
 
< 0.1%
s1
 
< 0.1%
k1
 
< 0.1%
d1
 
< 0.1%
ValueCountFrequency (%)
I625
57.3%
C465
42.6%
N1
 
0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8888
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2180
24.5%
c1715
19.3%
o1091
12.3%
e1091
12.3%
t1091
12.3%
I625
 
7.0%
n625
 
7.0%
C465
 
5.2%
N1
 
< 0.1%
a1
 
< 0.1%
Other values (3)3
 
< 0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8889
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2180
24.5%
c1715
19.3%
o1091
12.3%
e1091
12.3%
t1091
12.3%
I625
 
7.0%
n625
 
7.0%
C465
 
5.2%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
< 0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
777 
Incorrect
313 
Not asked
 
1

Length

Max length9
Median length7
Mean length7.575618698
Min length7

Characters and Unicode

Total characters8265
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowIncorrect
ValueCountFrequency (%)
Correct777
71.2%
Incorrect313
28.7%
Not asked1
 
0.1%
2021-03-31T15:33:21.553900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:21.641983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct777
71.2%
incorrect313
28.7%
not1
 
0.1%
asked1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
r2180
26.4%
c1403
17.0%
o1091
13.2%
e1091
13.2%
t1091
13.2%
C777
 
9.4%
I313
 
3.8%
n313
 
3.8%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7173
86.8%
Uppercase Letter1091
 
13.2%
Space Separator1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2180
30.4%
c1403
19.6%
o1091
15.2%
e1091
15.2%
t1091
15.2%
n313
 
4.4%
a1
 
< 0.1%
s1
 
< 0.1%
k1
 
< 0.1%
d1
 
< 0.1%
ValueCountFrequency (%)
C777
71.2%
I313
28.7%
N1
 
0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8264
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2180
26.4%
c1403
17.0%
o1091
13.2%
e1091
13.2%
t1091
13.2%
C777
 
9.4%
I313
 
3.8%
n313
 
3.8%
N1
 
< 0.1%
a1
 
< 0.1%
Other values (3)3
 
< 0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8265
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2180
26.4%
c1403
17.0%
o1091
13.2%
e1091
13.2%
t1091
13.2%
C777
 
9.4%
I313
 
3.8%
n313
 
3.8%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
< 0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
764 
Incorrect
325 
Not asked
 
2

Length

Max length9
Median length7
Mean length7.599450046
Min length7

Characters and Unicode

Total characters8291
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct764
70.0%
Incorrect325
29.8%
Not asked2
 
0.2%
2021-03-31T15:33:21.969196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:22.052654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct764
69.9%
incorrect325
29.7%
not2
 
0.2%
asked2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
r2178
26.3%
c1414
17.1%
o1091
13.2%
e1091
13.2%
t1091
13.2%
C764
 
9.2%
I325
 
3.9%
n325
 
3.9%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7198
86.8%
Uppercase Letter1091
 
13.2%
Space Separator2
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2178
30.3%
c1414
19.6%
o1091
15.2%
e1091
15.2%
t1091
15.2%
n325
 
4.5%
a2
 
< 0.1%
s2
 
< 0.1%
k2
 
< 0.1%
d2
 
< 0.1%
ValueCountFrequency (%)
C764
70.0%
I325
29.8%
N2
 
0.2%
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8289
> 99.9%
Common2
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2178
26.3%
c1414
17.1%
o1091
13.2%
e1091
13.2%
t1091
13.2%
C764
 
9.2%
I325
 
3.9%
n325
 
3.9%
N2
 
< 0.1%
a2
 
< 0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8291
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2178
26.3%
c1414
17.1%
o1091
13.2%
e1091
13.2%
t1091
13.2%
C764
 
9.2%
I325
 
3.9%
n325
 
3.9%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
910 
Incorrect
180 
Not asked
 
1

Length

Max length9
Median length7
Mean length7.331805683
Min length7

Characters and Unicode

Total characters7999
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct910
83.4%
Incorrect180
 
16.5%
Not asked1
 
0.1%
2021-03-31T15:33:22.267789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:22.339181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct910
83.3%
incorrect180
 
16.5%
not1
 
0.1%
asked1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
r2180
27.3%
c1270
15.9%
o1091
13.6%
e1091
13.6%
t1091
13.6%
C910
11.4%
I180
 
2.3%
n180
 
2.3%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6907
86.3%
Uppercase Letter1091
 
13.6%
Space Separator1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2180
31.6%
c1270
18.4%
o1091
15.8%
e1091
15.8%
t1091
15.8%
n180
 
2.6%
a1
 
< 0.1%
s1
 
< 0.1%
k1
 
< 0.1%
d1
 
< 0.1%
ValueCountFrequency (%)
C910
83.4%
I180
 
16.5%
N1
 
0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7998
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2180
27.3%
c1270
15.9%
o1091
13.6%
e1091
13.6%
t1091
13.6%
C910
11.4%
I180
 
2.3%
n180
 
2.3%
N1
 
< 0.1%
a1
 
< 0.1%
Other values (3)3
 
< 0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7999
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2180
27.3%
c1270
15.9%
o1091
13.6%
e1091
13.6%
t1091
13.6%
C910
11.4%
I180
 
2.3%
n180
 
2.3%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
973 
Incorrect
115 
Not asked
 
3

Length

Max length9
Median length7
Mean length7.216315307
Min length7

Characters and Unicode

Total characters7873
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct973
89.2%
Incorrect115
 
10.5%
Not asked3
 
0.3%
2021-03-31T15:33:22.539862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:22.623012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct973
88.9%
incorrect115
 
10.5%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
27.6%
c1203
15.3%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C973
12.4%
I115
 
1.5%
n115
 
1.5%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6779
86.1%
Uppercase Letter1091
 
13.9%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
32.1%
c1203
17.7%
o1091
16.1%
e1091
16.1%
t1091
16.1%
n115
 
1.7%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C973
89.2%
I115
 
10.5%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7870
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
27.6%
c1203
15.3%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C973
12.4%
I115
 
1.5%
n115
 
1.5%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7873
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
27.6%
c1203
15.3%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C973
12.4%
I115
 
1.5%
n115
 
1.5%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1010 
Incorrect
 
80
Not asked
 
1

Length

Max length9
Median length7
Mean length7.148487626
Min length7

Characters and Unicode

Total characters7799
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1010
92.6%
Incorrect80
 
7.3%
Not asked1
 
0.1%
2021-03-31T15:33:22.816066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:22.892319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1010
92.5%
incorrect80
 
7.3%
not1
 
0.1%
asked1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
r2180
28.0%
c1170
15.0%
o1091
14.0%
e1091
14.0%
t1091
14.0%
C1010
13.0%
I80
 
1.0%
n80
 
1.0%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6707
86.0%
Uppercase Letter1091
 
14.0%
Space Separator1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2180
32.5%
c1170
17.4%
o1091
16.3%
e1091
16.3%
t1091
16.3%
n80
 
1.2%
a1
 
< 0.1%
s1
 
< 0.1%
k1
 
< 0.1%
d1
 
< 0.1%
ValueCountFrequency (%)
C1010
92.6%
I80
 
7.3%
N1
 
0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7798
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2180
28.0%
c1170
15.0%
o1091
14.0%
e1091
14.0%
t1091
14.0%
C1010
13.0%
I80
 
1.0%
n80
 
1.0%
N1
 
< 0.1%
a1
 
< 0.1%
Other values (3)3
 
< 0.1%
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7799
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2180
28.0%
c1170
15.0%
o1091
14.0%
e1091
14.0%
t1091
14.0%
C1010
13.0%
I80
 
1.0%
n80
 
1.0%
N1
 
< 0.1%
1
 
< 0.1%
Other values (4)4
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
806 
Incorrect
281 
Not asked
 
4

Length

Max length9
Median length7
Mean length7.522456462
Min length7

Characters and Unicode

Total characters8207
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct806
73.9%
Incorrect281
 
25.8%
Not asked4
 
0.4%
2021-03-31T15:33:23.097950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:23.178757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct806
73.6%
incorrect281
 
25.7%
not4
 
0.4%
asked4
 
0.4%

Most occurring characters

ValueCountFrequency (%)
r2174
26.5%
c1368
16.7%
o1091
13.3%
e1091
13.3%
t1091
13.3%
C806
 
9.8%
I281
 
3.4%
n281
 
3.4%
N4
 
< 0.1%
4
 
< 0.1%
Other values (4)16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7112
86.7%
Uppercase Letter1091
 
13.3%
Space Separator4
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2174
30.6%
c1368
19.2%
o1091
15.3%
e1091
15.3%
t1091
15.3%
n281
 
4.0%
a4
 
0.1%
s4
 
0.1%
k4
 
0.1%
d4
 
0.1%
ValueCountFrequency (%)
C806
73.9%
I281
 
25.8%
N4
 
0.4%
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8203
> 99.9%
Common4
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2174
26.5%
c1368
16.7%
o1091
13.3%
e1091
13.3%
t1091
13.3%
C806
 
9.8%
I281
 
3.4%
n281
 
3.4%
N4
 
< 0.1%
a4
 
< 0.1%
Other values (3)12
 
0.1%
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8207
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2174
26.5%
c1368
16.7%
o1091
13.3%
e1091
13.3%
t1091
13.3%
C806
 
9.8%
I281
 
3.4%
n281
 
3.4%
N4
 
< 0.1%
4
 
< 0.1%
Other values (4)16
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
871 
Incorrect
217 
Not asked
 
3

Length

Max length9
Median length7
Mean length7.403299725
Min length7

Characters and Unicode

Total characters8077
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct871
79.8%
Incorrect217
 
19.9%
Not asked3
 
0.3%
2021-03-31T15:33:23.368672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:23.443053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct871
79.6%
incorrect217
 
19.8%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
26.9%
c1305
16.2%
o1091
13.5%
e1091
13.5%
t1091
13.5%
C871
10.8%
I217
 
2.7%
n217
 
2.7%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6983
86.5%
Uppercase Letter1091
 
13.5%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
31.2%
c1305
18.7%
o1091
15.6%
e1091
15.6%
t1091
15.6%
n217
 
3.1%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C871
79.8%
I217
 
19.9%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8074
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
27.0%
c1305
16.2%
o1091
13.5%
e1091
13.5%
t1091
13.5%
C871
10.8%
I217
 
2.7%
n217
 
2.7%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8077
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
26.9%
c1305
16.2%
o1091
13.5%
e1091
13.5%
t1091
13.5%
C871
10.8%
I217
 
2.7%
n217
 
2.7%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
866 
Incorrect
223 
Not asked
 
2

Length

Max length9
Median length7
Mean length7.412465628
Min length7

Characters and Unicode

Total characters8087
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct866
79.4%
Incorrect223
 
20.4%
Not asked2
 
0.2%
2021-03-31T15:33:23.630733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:23.703222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct866
79.2%
incorrect223
 
20.4%
not2
 
0.2%
asked2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
r2178
26.9%
c1312
16.2%
o1091
13.5%
e1091
13.5%
t1091
13.5%
C866
 
10.7%
I223
 
2.8%
n223
 
2.8%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6994
86.5%
Uppercase Letter1091
 
13.5%
Space Separator2
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2178
31.1%
c1312
18.8%
o1091
15.6%
e1091
15.6%
t1091
15.6%
n223
 
3.2%
a2
 
< 0.1%
s2
 
< 0.1%
k2
 
< 0.1%
d2
 
< 0.1%
ValueCountFrequency (%)
C866
79.4%
I223
 
20.4%
N2
 
0.2%
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8085
> 99.9%
Common2
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2178
26.9%
c1312
16.2%
o1091
13.5%
e1091
13.5%
t1091
13.5%
C866
 
10.7%
I223
 
2.8%
n223
 
2.8%
N2
 
< 0.1%
a2
 
< 0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8087
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2178
26.9%
c1312
16.2%
o1091
13.5%
e1091
13.5%
t1091
13.5%
C866
 
10.7%
I223
 
2.8%
n223
 
2.8%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
848 
Not asked
236 
Incorrect
 
7

Length

Max length9
Median length7
Mean length7.445462878
Min length7

Characters and Unicode

Total characters8123
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct848
77.7%
Not asked236
 
21.6%
Incorrect7
 
0.6%
2021-03-31T15:33:23.925094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:24.006884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct848
63.9%
not236
 
17.8%
asked236
 
17.8%
incorrect7
 
0.5%

Most occurring characters

ValueCountFrequency (%)
r1710
21.1%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c862
10.6%
C848
10.4%
N236
 
2.9%
236
 
2.9%
a236
 
2.9%
s236
 
2.9%
Other values (4)486
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6796
83.7%
Uppercase Letter1091
 
13.4%
Space Separator236
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1710
25.2%
o1091
16.1%
t1091
16.1%
e1091
16.1%
c862
12.7%
a236
 
3.5%
s236
 
3.5%
k236
 
3.5%
d236
 
3.5%
n7
 
0.1%
ValueCountFrequency (%)
C848
77.7%
N236
 
21.6%
I7
 
0.6%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7887
97.1%
Common236
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1710
21.7%
o1091
13.8%
t1091
13.8%
e1091
13.8%
c862
10.9%
C848
10.8%
N236
 
3.0%
a236
 
3.0%
s236
 
3.0%
k236
 
3.0%
Other values (3)250
 
3.2%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8123
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
21.1%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c862
10.6%
C848
10.4%
N236
 
2.9%
236
 
2.9%
a236
 
2.9%
s236
 
2.9%
Other values (4)486
 
6.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
792 
Not asked
237 
Incorrect
 
62

Length

Max length9
Median length7
Mean length7.54812099
Min length7

Characters and Unicode

Total characters8235
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct792
72.6%
Not asked237
 
21.7%
Incorrect62
 
5.7%
2021-03-31T15:33:24.232354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:24.349979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct792
59.6%
not237
 
17.8%
asked237
 
17.8%
incorrect62
 
4.7%

Most occurring characters

ValueCountFrequency (%)
r1708
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c916
11.1%
C792
9.6%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)598
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6907
83.9%
Uppercase Letter1091
 
13.2%
Space Separator237
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1708
24.7%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c916
13.3%
a237
 
3.4%
s237
 
3.4%
k237
 
3.4%
d237
 
3.4%
n62
 
0.9%
ValueCountFrequency (%)
C792
72.6%
N237
 
21.7%
I62
 
5.7%
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7998
97.1%
Common237
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1708
21.4%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c916
11.5%
C792
9.9%
N237
 
3.0%
a237
 
3.0%
s237
 
3.0%
k237
 
3.0%
Other values (3)361
 
4.5%
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8235
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1708
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c916
11.1%
C792
9.6%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)598
 
7.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
664 
Not asked
240 
Incorrect
187 

Length

Max length9
Median length7
Mean length7.782768103
Min length7

Characters and Unicode

Total characters8491
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct664
60.9%
Not asked240
 
22.0%
Incorrect187
 
17.1%
2021-03-31T15:33:24.547864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:24.627530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct664
49.9%
not240
 
18.0%
asked240
 
18.0%
incorrect187
 
14.0%

Most occurring characters

ValueCountFrequency (%)
r1702
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1038
12.2%
C664
 
7.8%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)854
10.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7160
84.3%
Uppercase Letter1091
 
12.8%
Space Separator240
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1702
23.8%
o1091
15.2%
t1091
15.2%
e1091
15.2%
c1038
14.5%
a240
 
3.4%
s240
 
3.4%
k240
 
3.4%
d240
 
3.4%
n187
 
2.6%
ValueCountFrequency (%)
C664
60.9%
N240
 
22.0%
I187
 
17.1%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8251
97.2%
Common240
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1702
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c1038
12.6%
C664
 
8.0%
N240
 
2.9%
a240
 
2.9%
s240
 
2.9%
k240
 
2.9%
Other values (3)614
 
7.4%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8491
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1038
12.2%
C664
 
7.8%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)854
10.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
670 
Not asked
240 
Incorrect
181 

Length

Max length9
Median length7
Mean length7.771769019
Min length7

Characters and Unicode

Total characters8479
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct670
61.4%
Not asked240
 
22.0%
Incorrect181
 
16.6%
2021-03-31T15:33:24.836503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:24.923054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct670
50.3%
not240
 
18.0%
asked240
 
18.0%
incorrect181
 
13.6%

Most occurring characters

ValueCountFrequency (%)
r1702
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1032
12.2%
C670
 
7.9%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)842
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7148
84.3%
Uppercase Letter1091
 
12.9%
Space Separator240
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1702
23.8%
o1091
15.3%
t1091
15.3%
e1091
15.3%
c1032
14.4%
a240
 
3.4%
s240
 
3.4%
k240
 
3.4%
d240
 
3.4%
n181
 
2.5%
ValueCountFrequency (%)
C670
61.4%
N240
 
22.0%
I181
 
16.6%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8239
97.2%
Common240
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1702
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c1032
12.5%
C670
 
8.1%
N240
 
2.9%
a240
 
2.9%
s240
 
2.9%
k240
 
2.9%
Other values (3)602
 
7.3%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8479
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1032
12.2%
C670
 
7.9%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)842
9.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
836 
Not asked
237 
Incorrect
 
18

Length

Max length9
Median length7
Mean length7.467461045
Min length7

Characters and Unicode

Total characters8147
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct836
76.6%
Not asked237
 
21.7%
Incorrect18
 
1.6%
2021-03-31T15:33:25.151881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:25.281074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct836
63.0%
not237
 
17.8%
asked237
 
17.8%
incorrect18
 
1.4%

Most occurring characters

ValueCountFrequency (%)
r1708
21.0%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c872
10.7%
C836
10.3%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)510
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6819
83.7%
Uppercase Letter1091
 
13.4%
Space Separator237
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1708
25.0%
o1091
16.0%
t1091
16.0%
e1091
16.0%
c872
12.8%
a237
 
3.5%
s237
 
3.5%
k237
 
3.5%
d237
 
3.5%
n18
 
0.3%
ValueCountFrequency (%)
C836
76.6%
N237
 
21.7%
I18
 
1.6%
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7910
97.1%
Common237
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1708
21.6%
o1091
13.8%
t1091
13.8%
e1091
13.8%
c872
11.0%
C836
10.6%
N237
 
3.0%
a237
 
3.0%
s237
 
3.0%
k237
 
3.0%
Other values (3)273
 
3.5%
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8147
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1708
21.0%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c872
10.7%
C836
10.3%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)510
 
6.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
814 
Not asked
237 
Incorrect
 
40

Length

Max length9
Median length7
Mean length7.507791017
Min length7

Characters and Unicode

Total characters8191
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct814
74.6%
Not asked237
 
21.7%
Incorrect40
 
3.7%
2021-03-31T15:33:25.499492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:25.586070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct814
61.3%
not237
 
17.8%
asked237
 
17.8%
incorrect40
 
3.0%

Most occurring characters

ValueCountFrequency (%)
r1708
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c894
10.9%
C814
9.9%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)554
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6863
83.8%
Uppercase Letter1091
 
13.3%
Space Separator237
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1708
24.9%
o1091
15.9%
t1091
15.9%
e1091
15.9%
c894
13.0%
a237
 
3.5%
s237
 
3.5%
k237
 
3.5%
d237
 
3.5%
n40
 
0.6%
ValueCountFrequency (%)
C814
74.6%
N237
 
21.7%
I40
 
3.7%
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7954
97.1%
Common237
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1708
21.5%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c894
11.2%
C814
10.2%
N237
 
3.0%
a237
 
3.0%
s237
 
3.0%
k237
 
3.0%
Other values (3)317
 
4.0%
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8191
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1708
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c894
10.9%
C814
9.9%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)554
 
6.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
817 
Not asked
237 
Incorrect
 
37

Length

Max length9
Median length7
Mean length7.502291476
Min length7

Characters and Unicode

Total characters8185
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct817
74.9%
Not asked237
 
21.7%
Incorrect37
 
3.4%
2021-03-31T15:33:25.802224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:25.883683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct817
61.5%
not237
 
17.8%
asked237
 
17.8%
incorrect37
 
2.8%

Most occurring characters

ValueCountFrequency (%)
r1708
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c891
10.9%
C817
10.0%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)548
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6857
83.8%
Uppercase Letter1091
 
13.3%
Space Separator237
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1708
24.9%
o1091
15.9%
t1091
15.9%
e1091
15.9%
c891
13.0%
a237
 
3.5%
s237
 
3.5%
k237
 
3.5%
d237
 
3.5%
n37
 
0.5%
ValueCountFrequency (%)
C817
74.9%
N237
 
21.7%
I37
 
3.4%
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7948
97.1%
Common237
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1708
21.5%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c891
11.2%
C817
10.3%
N237
 
3.0%
a237
 
3.0%
s237
 
3.0%
k237
 
3.0%
Other values (3)311
 
3.9%
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8185
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1708
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c891
10.9%
C817
10.0%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)548
 
6.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1067 
Incorrect
 
22
Not asked
 
2

Length

Max length9
Median length7
Mean length7.043996334
Min length7

Characters and Unicode

Total characters7685
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1067
97.8%
Incorrect22
 
2.0%
Not asked2
 
0.2%
2021-03-31T15:33:26.231606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:26.307960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1067
97.6%
incorrect22
 
2.0%
not2
 
0.2%
asked2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
r2178
28.3%
c1111
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1067
13.9%
I22
 
0.3%
n22
 
0.3%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6592
85.8%
Uppercase Letter1091
 
14.2%
Space Separator2
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2178
33.0%
c1111
16.9%
o1091
16.6%
e1091
16.6%
t1091
16.6%
n22
 
0.3%
a2
 
< 0.1%
s2
 
< 0.1%
k2
 
< 0.1%
d2
 
< 0.1%
ValueCountFrequency (%)
C1067
97.8%
I22
 
2.0%
N2
 
0.2%
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7683
> 99.9%
Common2
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2178
28.3%
c1111
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1067
13.9%
I22
 
0.3%
n22
 
0.3%
N2
 
< 0.1%
a2
 
< 0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7685
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2178
28.3%
c1111
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1067
13.9%
I22
 
0.3%
n22
 
0.3%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1058 
Incorrect
 
31
Not asked
 
2

Length

Max length9
Median length7
Mean length7.060494959
Min length7

Characters and Unicode

Total characters7703
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1058
97.0%
Incorrect31
 
2.8%
Not asked2
 
0.2%
2021-03-31T15:33:26.510829image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:26.588630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1058
96.8%
incorrect31
 
2.8%
not2
 
0.2%
asked2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
r2178
28.3%
c1120
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1058
13.7%
I31
 
0.4%
n31
 
0.4%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6610
85.8%
Uppercase Letter1091
 
14.2%
Space Separator2
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2178
33.0%
c1120
16.9%
o1091
16.5%
e1091
16.5%
t1091
16.5%
n31
 
0.5%
a2
 
< 0.1%
s2
 
< 0.1%
k2
 
< 0.1%
d2
 
< 0.1%
ValueCountFrequency (%)
C1058
97.0%
I31
 
2.8%
N2
 
0.2%
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7701
> 99.9%
Common2
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2178
28.3%
c1120
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1058
13.7%
I31
 
0.4%
n31
 
0.4%
N2
 
< 0.1%
a2
 
< 0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7703
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2178
28.3%
c1120
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1058
13.7%
I31
 
0.4%
n31
 
0.4%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
836 
Not asked
234 
Incorrect
 
21

Length

Max length9
Median length7
Mean length7.467461045
Min length7

Characters and Unicode

Total characters8147
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct836
76.6%
Not asked234
 
21.4%
Incorrect21
 
1.9%
2021-03-31T15:33:26.855896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:26.946868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct836
63.1%
not234
 
17.7%
asked234
 
17.7%
incorrect21
 
1.6%

Most occurring characters

ValueCountFrequency (%)
r1714
21.0%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c878
10.8%
C836
10.3%
N234
 
2.9%
234
 
2.9%
a234
 
2.9%
s234
 
2.9%
Other values (4)510
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6822
83.7%
Uppercase Letter1091
 
13.4%
Space Separator234
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1714
25.1%
o1091
16.0%
t1091
16.0%
e1091
16.0%
c878
12.9%
a234
 
3.4%
s234
 
3.4%
k234
 
3.4%
d234
 
3.4%
n21
 
0.3%
ValueCountFrequency (%)
C836
76.6%
N234
 
21.4%
I21
 
1.9%
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7913
97.1%
Common234
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1714
21.7%
o1091
13.8%
t1091
13.8%
e1091
13.8%
c878
11.1%
C836
10.6%
N234
 
3.0%
a234
 
3.0%
s234
 
3.0%
k234
 
3.0%
Other values (3)276
 
3.5%
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8147
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1714
21.0%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c878
10.8%
C836
10.3%
N234
 
2.9%
234
 
2.9%
a234
 
2.9%
s234
 
2.9%
Other values (4)510
 
6.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
797 
Not asked
234 
Incorrect
 
60

Length

Max length9
Median length7
Mean length7.538955087
Min length7

Characters and Unicode

Total characters8225
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct797
73.1%
Not asked234
 
21.4%
Incorrect60
 
5.5%
2021-03-31T15:33:27.165748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:27.251288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct797
60.2%
not234
 
17.7%
asked234
 
17.7%
incorrect60
 
4.5%

Most occurring characters

ValueCountFrequency (%)
r1714
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c917
11.1%
C797
9.7%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)588
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6900
83.9%
Uppercase Letter1091
 
13.3%
Space Separator234
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1714
24.8%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c917
13.3%
a234
 
3.4%
s234
 
3.4%
k234
 
3.4%
d234
 
3.4%
n60
 
0.9%
ValueCountFrequency (%)
C797
73.1%
N234
 
21.4%
I60
 
5.5%
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7991
97.2%
Common234
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1714
21.4%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c917
11.5%
C797
10.0%
N234
 
2.9%
a234
 
2.9%
s234
 
2.9%
k234
 
2.9%
Other values (3)354
 
4.4%
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8225
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1714
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c917
11.1%
C797
9.7%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)588
 
7.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
766 
Not asked
234 
Incorrect
91 

Length

Max length9
Median length7
Mean length7.595783685
Min length7

Characters and Unicode

Total characters8287
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct766
70.2%
Not asked234
 
21.4%
Incorrect91
 
8.3%
2021-03-31T15:33:27.462791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:27.546701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct766
57.8%
not234
 
17.7%
asked234
 
17.7%
incorrect91
 
6.9%

Most occurring characters

ValueCountFrequency (%)
r1714
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c948
11.4%
C766
9.2%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)650
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6962
84.0%
Uppercase Letter1091
 
13.2%
Space Separator234
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1714
24.6%
o1091
15.7%
t1091
15.7%
e1091
15.7%
c948
13.6%
a234
 
3.4%
s234
 
3.4%
k234
 
3.4%
d234
 
3.4%
n91
 
1.3%
ValueCountFrequency (%)
C766
70.2%
N234
 
21.4%
I91
 
8.3%
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8053
97.2%
Common234
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1714
21.3%
o1091
13.5%
t1091
13.5%
e1091
13.5%
c948
11.8%
C766
9.5%
N234
 
2.9%
a234
 
2.9%
s234
 
2.9%
k234
 
2.9%
Other values (3)416
 
5.2%
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8287
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1714
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c948
11.4%
C766
9.2%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)650
 
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
797 
Not asked
234 
Incorrect
 
60

Length

Max length9
Median length7
Mean length7.538955087
Min length7

Characters and Unicode

Total characters8225
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct797
73.1%
Not asked234
 
21.4%
Incorrect60
 
5.5%
2021-03-31T15:33:27.755716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:27.840485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct797
60.2%
not234
 
17.7%
asked234
 
17.7%
incorrect60
 
4.5%

Most occurring characters

ValueCountFrequency (%)
r1714
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c917
11.1%
C797
9.7%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)588
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6900
83.9%
Uppercase Letter1091
 
13.3%
Space Separator234
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1714
24.8%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c917
13.3%
a234
 
3.4%
s234
 
3.4%
k234
 
3.4%
d234
 
3.4%
n60
 
0.9%
ValueCountFrequency (%)
C797
73.1%
N234
 
21.4%
I60
 
5.5%
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7991
97.2%
Common234
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1714
21.4%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c917
11.5%
C797
10.0%
N234
 
2.9%
a234
 
2.9%
s234
 
2.9%
k234
 
2.9%
Other values (3)354
 
4.4%
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8225
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1714
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c917
11.1%
C797
9.7%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)588
 
7.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
681 
Not asked
235 
Incorrect
175 

Length

Max length9
Median length7
Mean length7.751604033
Min length7

Characters and Unicode

Total characters8457
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct681
62.4%
Not asked235
 
21.5%
Incorrect175
 
16.0%
2021-03-31T15:33:28.062616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:28.140304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct681
51.4%
not235
 
17.7%
asked235
 
17.7%
incorrect175
 
13.2%

Most occurring characters

ValueCountFrequency (%)
r1712
20.2%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1031
12.2%
C681
 
8.1%
N235
 
2.8%
235
 
2.8%
a235
 
2.8%
s235
 
2.8%
Other values (4)820
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7131
84.3%
Uppercase Letter1091
 
12.9%
Space Separator235
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1712
24.0%
o1091
15.3%
t1091
15.3%
e1091
15.3%
c1031
14.5%
a235
 
3.3%
s235
 
3.3%
k235
 
3.3%
d235
 
3.3%
n175
 
2.5%
ValueCountFrequency (%)
C681
62.4%
N235
 
21.5%
I175
 
16.0%
ValueCountFrequency (%)
235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8222
97.2%
Common235
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1712
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c1031
12.5%
C681
 
8.3%
N235
 
2.9%
a235
 
2.9%
s235
 
2.9%
k235
 
2.9%
Other values (3)585
 
7.1%
ValueCountFrequency (%)
235
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8457
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1712
20.2%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1031
12.2%
C681
 
8.1%
N235
 
2.8%
235
 
2.8%
a235
 
2.8%
s235
 
2.8%
Other values (4)820
9.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
794 
Not asked
234 
Incorrect
 
63

Length

Max length9
Median length7
Mean length7.544454629
Min length7

Characters and Unicode

Total characters8231
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct794
72.8%
Not asked234
 
21.4%
Incorrect63
 
5.8%
2021-03-31T15:33:28.387003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:28.463543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct794
59.9%
not234
 
17.7%
asked234
 
17.7%
incorrect63
 
4.8%

Most occurring characters

ValueCountFrequency (%)
r1714
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c920
11.2%
C794
9.6%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)594
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6906
83.9%
Uppercase Letter1091
 
13.3%
Space Separator234
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1714
24.8%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c920
13.3%
a234
 
3.4%
s234
 
3.4%
k234
 
3.4%
d234
 
3.4%
n63
 
0.9%
ValueCountFrequency (%)
C794
72.8%
N234
 
21.4%
I63
 
5.8%
ValueCountFrequency (%)
234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7997
97.2%
Common234
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1714
21.4%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c920
11.5%
C794
9.9%
N234
 
2.9%
a234
 
2.9%
s234
 
2.9%
k234
 
2.9%
Other values (3)360
 
4.5%
ValueCountFrequency (%)
234
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8231
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1714
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c920
11.2%
C794
9.6%
N234
 
2.8%
234
 
2.8%
a234
 
2.8%
s234
 
2.8%
Other values (4)594
 
7.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
819 
Not asked
236 
Incorrect
 
36

Length

Max length9
Median length7
Mean length7.498625115
Min length7

Characters and Unicode

Total characters8181
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct819
75.1%
Not asked236
 
21.6%
Incorrect36
 
3.3%
2021-03-31T15:33:28.675854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:28.758442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct819
61.7%
not236
 
17.8%
asked236
 
17.8%
incorrect36
 
2.7%

Most occurring characters

ValueCountFrequency (%)
r1710
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c891
10.9%
C819
10.0%
N236
 
2.9%
236
 
2.9%
a236
 
2.9%
s236
 
2.9%
Other values (4)544
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6854
83.8%
Uppercase Letter1091
 
13.3%
Space Separator236
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1710
24.9%
o1091
15.9%
t1091
15.9%
e1091
15.9%
c891
13.0%
a236
 
3.4%
s236
 
3.4%
k236
 
3.4%
d236
 
3.4%
n36
 
0.5%
ValueCountFrequency (%)
C819
75.1%
N236
 
21.6%
I36
 
3.3%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7945
97.1%
Common236
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1710
21.5%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c891
11.2%
C819
10.3%
N236
 
3.0%
a236
 
3.0%
s236
 
3.0%
k236
 
3.0%
Other values (3)308
 
3.9%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8181
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c891
10.9%
C819
10.0%
N236
 
2.9%
236
 
2.9%
a236
 
2.9%
s236
 
2.9%
Other values (4)544
 
6.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
796 
Not asked
237 
Incorrect
 
58

Length

Max length9
Median length7
Mean length7.540788268
Min length7

Characters and Unicode

Total characters8227
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct796
73.0%
Not asked237
 
21.7%
Incorrect58
 
5.3%
2021-03-31T15:33:28.970102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:29.051095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct796
59.9%
not237
 
17.8%
asked237
 
17.8%
incorrect58
 
4.4%

Most occurring characters

ValueCountFrequency (%)
r1708
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c912
11.1%
C796
9.7%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)590
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6899
83.9%
Uppercase Letter1091
 
13.3%
Space Separator237
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1708
24.8%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c912
13.2%
a237
 
3.4%
s237
 
3.4%
k237
 
3.4%
d237
 
3.4%
n58
 
0.8%
ValueCountFrequency (%)
C796
73.0%
N237
 
21.7%
I58
 
5.3%
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7990
97.1%
Common237
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1708
21.4%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c912
11.4%
C796
10.0%
N237
 
3.0%
a237
 
3.0%
s237
 
3.0%
k237
 
3.0%
Other values (3)353
 
4.4%
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8227
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1708
20.8%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c912
11.1%
C796
9.7%
N237
 
2.9%
237
 
2.9%
a237
 
2.9%
s237
 
2.9%
Other values (4)590
 
7.2%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
740 
Not asked
241 
Partly correct
86 
Incorrect
 
24

Length

Max length14
Median length7
Mean length8.037580202
Min length7

Characters and Unicode

Total characters8769
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct740
67.8%
Not asked241
 
22.1%
Partly correct86
 
7.9%
Incorrect24
 
2.2%
2021-03-31T15:33:29.256446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:29.331173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct826
58.3%
not241
 
17.0%
asked241
 
17.0%
partly86
 
6.1%
incorrect24
 
1.7%

Most occurring characters

ValueCountFrequency (%)
r1786
20.4%
t1177
13.4%
o1091
12.4%
e1091
12.4%
c960
10.9%
C740
8.4%
327
 
3.7%
a327
 
3.7%
N241
 
2.7%
s241
 
2.7%
Other values (7)788
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7351
83.8%
Uppercase Letter1091
 
12.4%
Space Separator327
 
3.7%

Most frequent character per category

ValueCountFrequency (%)
r1786
24.3%
t1177
16.0%
o1091
14.8%
e1091
14.8%
c960
13.1%
a327
 
4.4%
s241
 
3.3%
k241
 
3.3%
d241
 
3.3%
l86
 
1.2%
Other values (2)110
 
1.5%
ValueCountFrequency (%)
C740
67.8%
N241
 
22.1%
P86
 
7.9%
I24
 
2.2%
ValueCountFrequency (%)
327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8442
96.3%
Common327
 
3.7%

Most frequent character per script

ValueCountFrequency (%)
r1786
21.2%
t1177
13.9%
o1091
12.9%
e1091
12.9%
c960
11.4%
C740
8.8%
a327
 
3.9%
N241
 
2.9%
s241
 
2.9%
k241
 
2.9%
Other values (6)547
 
6.5%
ValueCountFrequency (%)
327
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8769
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1786
20.4%
t1177
13.4%
o1091
12.4%
e1091
12.4%
c960
10.9%
C740
8.4%
327
 
3.7%
a327
 
3.7%
N241
 
2.7%
s241
 
2.7%
Other values (7)788
9.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
652 
Not asked
243 
Partly correct
150 
Incorrect
 
46

Length

Max length14
Median length7
Mean length8.492208983
Min length7

Characters and Unicode

Total characters9265
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct652
59.8%
Not asked243
 
22.3%
Partly correct150
 
13.7%
Incorrect46
 
4.2%
2021-03-31T15:33:29.537093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:29.611063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct802
54.0%
not243
 
16.4%
asked243
 
16.4%
partly150
 
10.1%
incorrect46
 
3.1%

Most occurring characters

ValueCountFrequency (%)
r1846
19.9%
t1241
13.4%
o1091
11.8%
e1091
11.8%
c1044
11.3%
C652
 
7.0%
393
 
4.2%
a393
 
4.2%
N243
 
2.6%
s243
 
2.6%
Other values (7)1028
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7781
84.0%
Uppercase Letter1091
 
11.8%
Space Separator393
 
4.2%

Most frequent character per category

ValueCountFrequency (%)
r1846
23.7%
t1241
15.9%
o1091
14.0%
e1091
14.0%
c1044
13.4%
a393
 
5.1%
s243
 
3.1%
k243
 
3.1%
d243
 
3.1%
l150
 
1.9%
Other values (2)196
 
2.5%
ValueCountFrequency (%)
C652
59.8%
N243
 
22.3%
P150
 
13.7%
I46
 
4.2%
ValueCountFrequency (%)
393
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8872
95.8%
Common393
 
4.2%

Most frequent character per script

ValueCountFrequency (%)
r1846
20.8%
t1241
14.0%
o1091
12.3%
e1091
12.3%
c1044
11.8%
C652
 
7.3%
a393
 
4.4%
N243
 
2.7%
s243
 
2.7%
k243
 
2.7%
Other values (6)785
8.8%
ValueCountFrequency (%)
393
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9265
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1846
19.9%
t1241
13.4%
o1091
11.8%
e1091
11.8%
c1044
11.3%
C652
 
7.0%
393
 
4.2%
a393
 
4.2%
N243
 
2.6%
s243
 
2.6%
Other values (7)1028
11.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
692 
Incorrect
396 
Not asked
 
3

Length

Max length9
Median length7
Mean length7.731439047
Min length7

Characters and Unicode

Total characters8435
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowIncorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct692
63.4%
Incorrect396
36.3%
Not asked3
 
0.3%
2021-03-31T15:33:29.822048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:29.904447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct692
63.3%
incorrect396
36.2%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
25.8%
c1484
17.6%
o1091
12.9%
e1091
12.9%
t1091
12.9%
C692
 
8.2%
I396
 
4.7%
n396
 
4.7%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7341
87.0%
Uppercase Letter1091
 
12.9%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
29.6%
c1484
20.2%
o1091
14.9%
e1091
14.9%
t1091
14.9%
n396
 
5.4%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C692
63.4%
I396
36.3%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8432
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
25.8%
c1484
17.6%
o1091
12.9%
e1091
12.9%
t1091
12.9%
C692
 
8.2%
I396
 
4.7%
n396
 
4.7%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8435
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
25.8%
c1484
17.6%
o1091
12.9%
e1091
12.9%
t1091
12.9%
C692
 
8.2%
I396
 
4.7%
n396
 
4.7%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Adequate
732 
Not asked
242 
Appropriate
94 
Names objects
 
19
No response
 
4

Length

Max length13
Median length8
Mean length8.578368469
Min length8

Characters and Unicode

Total characters9359
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowAdequate
3rd rowNot asked
4th rowNot asked
5th rowAppropriate
ValueCountFrequency (%)
Adequate732
67.1%
Not asked242
 
22.2%
Appropriate94
 
8.6%
Names objects19
 
1.7%
No response4
 
0.4%
2021-03-31T15:33:30.103766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:30.177866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
adequate732
54.0%
not242
 
17.8%
asked242
 
17.8%
appropriate94
 
6.9%
names19
 
1.4%
objects19
 
1.4%
no4
 
0.3%
response4
 
0.3%

Most occurring characters

ValueCountFrequency (%)
e1846
19.7%
t1087
11.6%
a1087
11.6%
d974
10.4%
A826
8.8%
q732
 
7.8%
u732
 
7.8%
o363
 
3.9%
s288
 
3.1%
p286
 
3.1%
Other values (10)1138
12.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8003
85.5%
Uppercase Letter1091
 
11.7%
Space Separator265
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
e1846
23.1%
t1087
13.6%
a1087
13.6%
d974
12.2%
q732
 
9.1%
u732
 
9.1%
o363
 
4.5%
s288
 
3.6%
p286
 
3.6%
k242
 
3.0%
Other values (7)366
 
4.6%
ValueCountFrequency (%)
A826
75.7%
N265
 
24.3%
ValueCountFrequency (%)
265
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9094
97.2%
Common265
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
e1846
20.3%
t1087
12.0%
a1087
12.0%
d974
10.7%
A826
9.1%
q732
 
8.0%
u732
 
8.0%
o363
 
4.0%
s288
 
3.2%
p286
 
3.1%
Other values (9)873
9.6%
ValueCountFrequency (%)
265
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9359
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1846
19.7%
t1087
11.6%
a1087
11.6%
d974
10.4%
A826
8.8%
q732
 
7.8%
u732
 
7.8%
o363
 
3.9%
s288
 
3.1%
p286
 
3.1%
Other values (10)1138
12.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
574 
Correct
279 
Not asked
238 

Length

Max length9
Median length9
Mean length8.488542621
Min length7

Characters and Unicode

Total characters9261
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Incorrect574
52.6%
Correct279
25.6%
Not asked238
21.8%
2021-03-31T15:33:30.407333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:30.492107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect574
43.2%
correct279
21.0%
not238
17.9%
asked238
17.9%

Most occurring characters

ValueCountFrequency (%)
r1706
18.4%
c1427
15.4%
o1091
11.8%
t1091
11.8%
e1091
11.8%
I574
 
6.2%
n574
 
6.2%
C279
 
3.0%
N238
 
2.6%
238
 
2.6%
Other values (4)952
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7932
85.6%
Uppercase Letter1091
 
11.8%
Space Separator238
 
2.6%

Most frequent character per category

ValueCountFrequency (%)
r1706
21.5%
c1427
18.0%
o1091
13.8%
t1091
13.8%
e1091
13.8%
n574
 
7.2%
a238
 
3.0%
s238
 
3.0%
k238
 
3.0%
d238
 
3.0%
ValueCountFrequency (%)
I574
52.6%
C279
25.6%
N238
21.8%
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9023
97.4%
Common238
 
2.6%

Most frequent character per script

ValueCountFrequency (%)
r1706
18.9%
c1427
15.8%
o1091
12.1%
t1091
12.1%
e1091
12.1%
I574
 
6.4%
n574
 
6.4%
C279
 
3.1%
N238
 
2.6%
a238
 
2.6%
Other values (3)714
7.9%
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9261
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1706
18.4%
c1427
15.4%
o1091
11.8%
t1091
11.8%
e1091
11.8%
I574
 
6.2%
n574
 
6.2%
C279
 
3.0%
N238
 
2.6%
238
 
2.6%
Other values (4)952
10.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
710 
Not asked
238 
Correct
143 

Length

Max length9
Median length9
Mean length8.737855179
Min length7

Characters and Unicode

Total characters9533
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowIncorrect
ValueCountFrequency (%)
Incorrect710
65.1%
Not asked238
 
21.8%
Correct143
 
13.1%
2021-03-31T15:33:30.707455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:30.826977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect710
53.4%
not238
 
17.9%
asked238
 
17.9%
correct143
 
10.8%

Most occurring characters

ValueCountFrequency (%)
r1706
17.9%
c1563
16.4%
o1091
11.4%
t1091
11.4%
e1091
11.4%
I710
7.4%
n710
7.4%
N238
 
2.5%
238
 
2.5%
a238
 
2.5%
Other values (4)857
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8204
86.1%
Uppercase Letter1091
 
11.4%
Space Separator238
 
2.5%

Most frequent character per category

ValueCountFrequency (%)
r1706
20.8%
c1563
19.1%
o1091
13.3%
t1091
13.3%
e1091
13.3%
n710
8.7%
a238
 
2.9%
s238
 
2.9%
k238
 
2.9%
d238
 
2.9%
ValueCountFrequency (%)
I710
65.1%
N238
 
21.8%
C143
 
13.1%
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9295
97.5%
Common238
 
2.5%

Most frequent character per script

ValueCountFrequency (%)
r1706
18.4%
c1563
16.8%
o1091
11.7%
t1091
11.7%
e1091
11.7%
I710
7.6%
n710
7.6%
N238
 
2.6%
a238
 
2.6%
s238
 
2.6%
Other values (3)619
 
6.7%
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9533
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1706
17.9%
c1563
16.4%
o1091
11.4%
t1091
11.4%
e1091
11.4%
I710
7.4%
n710
7.4%
N238
 
2.5%
238
 
2.5%
a238
 
2.5%
Other values (4)857
9.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
746 
Not asked
238 
Correct
107 

Length

Max length9
Median length9
Mean length8.803849679
Min length7

Characters and Unicode

Total characters9605
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowIncorrect
ValueCountFrequency (%)
Incorrect746
68.4%
Not asked238
 
21.8%
Correct107
 
9.8%
2021-03-31T15:33:31.034587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:31.113422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect746
56.1%
not238
 
17.9%
asked238
 
17.9%
correct107
 
8.1%

Most occurring characters

ValueCountFrequency (%)
r1706
17.8%
c1599
16.6%
o1091
11.4%
t1091
11.4%
e1091
11.4%
I746
7.8%
n746
7.8%
N238
 
2.5%
238
 
2.5%
a238
 
2.5%
Other values (4)821
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8276
86.2%
Uppercase Letter1091
 
11.4%
Space Separator238
 
2.5%

Most frequent character per category

ValueCountFrequency (%)
r1706
20.6%
c1599
19.3%
o1091
13.2%
t1091
13.2%
e1091
13.2%
n746
9.0%
a238
 
2.9%
s238
 
2.9%
k238
 
2.9%
d238
 
2.9%
ValueCountFrequency (%)
I746
68.4%
N238
 
21.8%
C107
 
9.8%
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9367
97.5%
Common238
 
2.5%

Most frequent character per script

ValueCountFrequency (%)
r1706
18.2%
c1599
17.1%
o1091
11.6%
t1091
11.6%
e1091
11.6%
I746
8.0%
n746
8.0%
N238
 
2.5%
a238
 
2.5%
s238
 
2.5%
Other values (3)583
 
6.2%
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9605
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1706
17.8%
c1599
16.6%
o1091
11.4%
t1091
11.4%
e1091
11.4%
I746
7.8%
n746
7.8%
N238
 
2.5%
238
 
2.5%
a238
 
2.5%
Other values (4)821
8.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
687 
Not asked
239 
Correct
165 

Length

Max length9
Median length9
Mean length8.697525206
Min length7

Characters and Unicode

Total characters9489
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowIncorrect
ValueCountFrequency (%)
Incorrect687
63.0%
Not asked239
 
21.9%
Correct165
 
15.1%
2021-03-31T15:33:31.531258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:31.608818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect687
51.7%
not239
 
18.0%
asked239
 
18.0%
correct165
 
12.4%

Most occurring characters

ValueCountFrequency (%)
r1704
18.0%
c1539
16.2%
o1091
11.5%
t1091
11.5%
e1091
11.5%
I687
7.2%
n687
7.2%
N239
 
2.5%
239
 
2.5%
a239
 
2.5%
Other values (4)882
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8159
86.0%
Uppercase Letter1091
 
11.5%
Space Separator239
 
2.5%

Most frequent character per category

ValueCountFrequency (%)
r1704
20.9%
c1539
18.9%
o1091
13.4%
t1091
13.4%
e1091
13.4%
n687
8.4%
a239
 
2.9%
s239
 
2.9%
k239
 
2.9%
d239
 
2.9%
ValueCountFrequency (%)
I687
63.0%
N239
 
21.9%
C165
 
15.1%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9250
97.5%
Common239
 
2.5%

Most frequent character per script

ValueCountFrequency (%)
r1704
18.4%
c1539
16.6%
o1091
11.8%
t1091
11.8%
e1091
11.8%
I687
7.4%
n687
7.4%
N239
 
2.6%
a239
 
2.6%
s239
 
2.6%
Other values (3)643
 
7.0%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9489
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
18.0%
c1539
16.2%
o1091
11.5%
t1091
11.5%
e1091
11.5%
I687
7.2%
n687
7.2%
N239
 
2.5%
239
 
2.5%
a239
 
2.5%
Other values (4)882
9.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
689 
Not asked
238 
Correct
164 

Length

Max length9
Median length9
Mean length8.699358387
Min length7

Characters and Unicode

Total characters9491
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowIncorrect
ValueCountFrequency (%)
Incorrect689
63.2%
Not asked238
 
21.8%
Correct164
 
15.0%
2021-03-31T15:33:31.830819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:31.914656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect689
51.8%
not238
 
17.9%
asked238
 
17.9%
correct164
 
12.3%

Most occurring characters

ValueCountFrequency (%)
r1706
18.0%
c1542
16.2%
o1091
11.5%
t1091
11.5%
e1091
11.5%
I689
7.3%
n689
7.3%
N238
 
2.5%
238
 
2.5%
a238
 
2.5%
Other values (4)878
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8162
86.0%
Uppercase Letter1091
 
11.5%
Space Separator238
 
2.5%

Most frequent character per category

ValueCountFrequency (%)
r1706
20.9%
c1542
18.9%
o1091
13.4%
t1091
13.4%
e1091
13.4%
n689
8.4%
a238
 
2.9%
s238
 
2.9%
k238
 
2.9%
d238
 
2.9%
ValueCountFrequency (%)
I689
63.2%
N238
 
21.8%
C164
 
15.0%
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9253
97.5%
Common238
 
2.5%

Most frequent character per script

ValueCountFrequency (%)
r1706
18.4%
c1542
16.7%
o1091
11.8%
t1091
11.8%
e1091
11.8%
I689
7.4%
n689
7.4%
N238
 
2.6%
a238
 
2.6%
s238
 
2.6%
Other values (3)640
 
6.9%
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9491
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1706
18.0%
c1542
16.2%
o1091
11.5%
t1091
11.5%
e1091
11.5%
I689
7.3%
n689
7.3%
N238
 
2.5%
238
 
2.5%
a238
 
2.5%
Other values (4)878
9.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
580 
Correct
273 
Not asked
238 

Length

Max length9
Median length9
Mean length8.499541705
Min length7

Characters and Unicode

Total characters9273
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowIncorrect
ValueCountFrequency (%)
Incorrect580
53.2%
Correct273
25.0%
Not asked238
21.8%
2021-03-31T15:33:32.136455image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:32.226591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect580
43.6%
correct273
20.5%
not238
17.9%
asked238
17.9%

Most occurring characters

ValueCountFrequency (%)
r1706
18.4%
c1433
15.5%
o1091
11.8%
t1091
11.8%
e1091
11.8%
I580
 
6.3%
n580
 
6.3%
C273
 
2.9%
N238
 
2.6%
238
 
2.6%
Other values (4)952
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7944
85.7%
Uppercase Letter1091
 
11.8%
Space Separator238
 
2.6%

Most frequent character per category

ValueCountFrequency (%)
r1706
21.5%
c1433
18.0%
o1091
13.7%
t1091
13.7%
e1091
13.7%
n580
 
7.3%
a238
 
3.0%
s238
 
3.0%
k238
 
3.0%
d238
 
3.0%
ValueCountFrequency (%)
I580
53.2%
C273
25.0%
N238
21.8%
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9035
97.4%
Common238
 
2.6%

Most frequent character per script

ValueCountFrequency (%)
r1706
18.9%
c1433
15.9%
o1091
12.1%
t1091
12.1%
e1091
12.1%
I580
 
6.4%
n580
 
6.4%
C273
 
3.0%
N238
 
2.6%
a238
 
2.6%
Other values (3)714
7.9%
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9273
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1706
18.4%
c1433
15.5%
o1091
11.8%
t1091
11.8%
e1091
11.8%
I580
 
6.3%
n580
 
6.3%
C273
 
2.9%
N238
 
2.6%
238
 
2.6%
Other values (4)952
10.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
646 
Not asked
236 
Incorrect
209 

Length

Max length9
Median length7
Mean length7.815765353
Min length7

Characters and Unicode

Total characters8527
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct646
59.2%
Not asked236
 
21.6%
Incorrect209
 
19.2%
2021-03-31T15:33:32.441090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:32.521905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct646
48.7%
not236
 
17.8%
asked236
 
17.8%
incorrect209
 
15.7%

Most occurring characters

ValueCountFrequency (%)
r1710
20.1%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1064
12.5%
C646
 
7.6%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)890
10.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7200
84.4%
Uppercase Letter1091
 
12.8%
Space Separator236
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1710
23.8%
o1091
15.2%
t1091
15.2%
e1091
15.2%
c1064
14.8%
a236
 
3.3%
s236
 
3.3%
k236
 
3.3%
d236
 
3.3%
n209
 
2.9%
ValueCountFrequency (%)
C646
59.2%
N236
 
21.6%
I209
 
19.2%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8291
97.2%
Common236
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1710
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c1064
12.8%
C646
 
7.8%
N236
 
2.8%
a236
 
2.8%
s236
 
2.8%
k236
 
2.8%
Other values (3)654
 
7.9%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8527
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
20.1%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1064
12.5%
C646
 
7.6%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)890
10.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
536 
Incorrect
319 
Not asked
236 

Length

Max length9
Median length9
Mean length8.017415215
Min length7

Characters and Unicode

Total characters8747
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowIncorrect
ValueCountFrequency (%)
Correct536
49.1%
Incorrect319
29.2%
Not asked236
21.6%
2021-03-31T15:33:32.725283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:32.806463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct536
40.4%
incorrect319
24.0%
not236
17.8%
asked236
17.8%

Most occurring characters

ValueCountFrequency (%)
r1710
19.5%
c1174
13.4%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C536
 
6.1%
I319
 
3.6%
n319
 
3.6%
N236
 
2.7%
236
 
2.7%
Other values (4)944
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7420
84.8%
Uppercase Letter1091
 
12.5%
Space Separator236
 
2.7%

Most frequent character per category

ValueCountFrequency (%)
r1710
23.0%
c1174
15.8%
o1091
14.7%
t1091
14.7%
e1091
14.7%
n319
 
4.3%
a236
 
3.2%
s236
 
3.2%
k236
 
3.2%
d236
 
3.2%
ValueCountFrequency (%)
C536
49.1%
I319
29.2%
N236
21.6%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8511
97.3%
Common236
 
2.7%

Most frequent character per script

ValueCountFrequency (%)
r1710
20.1%
c1174
13.8%
o1091
12.8%
t1091
12.8%
e1091
12.8%
C536
 
6.3%
I319
 
3.7%
n319
 
3.7%
N236
 
2.8%
a236
 
2.8%
Other values (3)708
8.3%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8747
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
19.5%
c1174
13.4%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C536
 
6.1%
I319
 
3.6%
n319
 
3.6%
N236
 
2.7%
236
 
2.7%
Other values (4)944
10.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
694 
Not asked
236 
Incorrect
161 

Length

Max length9
Median length7
Mean length7.727772686
Min length7

Characters and Unicode

Total characters8431
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct694
63.6%
Not asked236
 
21.6%
Incorrect161
 
14.8%
2021-03-31T15:33:33.047401image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:33.131105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct694
52.3%
not236
 
17.8%
asked236
 
17.8%
incorrect161
 
12.1%

Most occurring characters

ValueCountFrequency (%)
r1710
20.3%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1016
12.1%
C694
8.2%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)794
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7104
84.3%
Uppercase Letter1091
 
12.9%
Space Separator236
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1710
24.1%
o1091
15.4%
t1091
15.4%
e1091
15.4%
c1016
14.3%
a236
 
3.3%
s236
 
3.3%
k236
 
3.3%
d236
 
3.3%
n161
 
2.3%
ValueCountFrequency (%)
C694
63.6%
N236
 
21.6%
I161
 
14.8%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8195
97.2%
Common236
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1710
20.9%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c1016
12.4%
C694
8.5%
N236
 
2.9%
a236
 
2.9%
s236
 
2.9%
k236
 
2.9%
Other values (3)558
 
6.8%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8431
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
20.3%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1016
12.1%
C694
8.2%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)794
9.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
732 
Not asked
236 
Incorrect
123 

Length

Max length9
Median length7
Mean length7.658111824
Min length7

Characters and Unicode

Total characters8355
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct732
67.1%
Not asked236
 
21.6%
Incorrect123
 
11.3%
2021-03-31T15:33:33.349586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:33.428828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct732
55.2%
not236
 
17.8%
asked236
 
17.8%
incorrect123
 
9.3%

Most occurring characters

ValueCountFrequency (%)
r1710
20.5%
o1091
13.1%
t1091
13.1%
e1091
13.1%
c978
11.7%
C732
8.8%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)718
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7028
84.1%
Uppercase Letter1091
 
13.1%
Space Separator236
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1710
24.3%
o1091
15.5%
t1091
15.5%
e1091
15.5%
c978
13.9%
a236
 
3.4%
s236
 
3.4%
k236
 
3.4%
d236
 
3.4%
n123
 
1.8%
ValueCountFrequency (%)
C732
67.1%
N236
 
21.6%
I123
 
11.3%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8119
97.2%
Common236
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1710
21.1%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c978
12.0%
C732
9.0%
N236
 
2.9%
a236
 
2.9%
s236
 
2.9%
k236
 
2.9%
Other values (3)482
 
5.9%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8355
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
20.5%
o1091
13.1%
t1091
13.1%
e1091
13.1%
c978
11.7%
C732
8.8%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)718
8.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
654 
Not asked
236 
Incorrect
201 

Length

Max length9
Median length7
Mean length7.801099908
Min length7

Characters and Unicode

Total characters8511
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct654
59.9%
Not asked236
 
21.6%
Incorrect201
 
18.4%
2021-03-31T15:33:33.626710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:33.719906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct654
49.3%
not236
 
17.8%
asked236
 
17.8%
incorrect201
 
15.1%

Most occurring characters

ValueCountFrequency (%)
r1710
20.1%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1056
12.4%
C654
 
7.7%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)874
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7184
84.4%
Uppercase Letter1091
 
12.8%
Space Separator236
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1710
23.8%
o1091
15.2%
t1091
15.2%
e1091
15.2%
c1056
14.7%
a236
 
3.3%
s236
 
3.3%
k236
 
3.3%
d236
 
3.3%
n201
 
2.8%
ValueCountFrequency (%)
C654
59.9%
N236
 
21.6%
I201
 
18.4%
ValueCountFrequency (%)
236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8275
97.2%
Common236
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1710
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c1056
12.8%
C654
 
7.9%
N236
 
2.9%
a236
 
2.9%
s236
 
2.9%
k236
 
2.9%
Other values (3)638
 
7.7%
ValueCountFrequency (%)
236
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8511
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1710
20.1%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1056
12.4%
C654
 
7.7%
N236
 
2.8%
236
 
2.8%
a236
 
2.8%
s236
 
2.8%
Other values (4)874
10.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
635 
Not asked
237 
Incorrect
219 

Length

Max length9
Median length7
Mean length7.835930339
Min length7

Characters and Unicode

Total characters8549
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct635
58.2%
Not asked237
 
21.7%
Incorrect219
 
20.1%
2021-03-31T15:33:33.931062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:34.038025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct635
47.8%
not237
 
17.8%
asked237
 
17.8%
incorrect219
 
16.5%

Most occurring characters

ValueCountFrequency (%)
r1708
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1073
12.6%
C635
 
7.4%
N237
 
2.8%
237
 
2.8%
a237
 
2.8%
s237
 
2.8%
Other values (4)912
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7221
84.5%
Uppercase Letter1091
 
12.8%
Space Separator237
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1708
23.7%
o1091
15.1%
t1091
15.1%
e1091
15.1%
c1073
14.9%
a237
 
3.3%
s237
 
3.3%
k237
 
3.3%
d237
 
3.3%
n219
 
3.0%
ValueCountFrequency (%)
C635
58.2%
N237
 
21.7%
I219
 
20.1%
ValueCountFrequency (%)
237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8312
97.2%
Common237
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1708
20.5%
o1091
13.1%
t1091
13.1%
e1091
13.1%
c1073
12.9%
C635
 
7.6%
N237
 
2.9%
a237
 
2.9%
s237
 
2.9%
k237
 
2.9%
Other values (3)675
 
8.1%
ValueCountFrequency (%)
237
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8549
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1708
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1073
12.6%
C635
 
7.4%
N237
 
2.8%
237
 
2.8%
a237
 
2.8%
s237
 
2.8%
Other values (4)912
10.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
673 
Not asked
240 
Incorrect
178 

Length

Max length9
Median length7
Mean length7.766269478
Min length7

Characters and Unicode

Total characters8473
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct673
61.7%
Not asked240
 
22.0%
Incorrect178
 
16.3%
2021-03-31T15:33:34.247639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:34.328181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct673
50.6%
not240
 
18.0%
asked240
 
18.0%
incorrect178
 
13.4%

Most occurring characters

ValueCountFrequency (%)
r1702
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1029
12.1%
C673
 
7.9%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)836
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7142
84.3%
Uppercase Letter1091
 
12.9%
Space Separator240
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1702
23.8%
o1091
15.3%
t1091
15.3%
e1091
15.3%
c1029
14.4%
a240
 
3.4%
s240
 
3.4%
k240
 
3.4%
d240
 
3.4%
n178
 
2.5%
ValueCountFrequency (%)
C673
61.7%
N240
 
22.0%
I178
 
16.3%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8233
97.2%
Common240
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1702
20.7%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c1029
12.5%
C673
 
8.2%
N240
 
2.9%
a240
 
2.9%
s240
 
2.9%
k240
 
2.9%
Other values (3)596
 
7.2%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8473
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1029
12.1%
C673
 
7.9%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)836
9.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
657 
Not asked
241 
Incorrect
193 

Length

Max length9
Median length7
Mean length7.795600367
Min length7

Characters and Unicode

Total characters8505
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct657
60.2%
Not asked241
 
22.1%
Incorrect193
 
17.7%
2021-03-31T15:33:34.551016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:34.636078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct657
49.3%
not241
 
18.1%
asked241
 
18.1%
incorrect193
 
14.5%

Most occurring characters

ValueCountFrequency (%)
r1700
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1043
12.3%
C657
 
7.7%
N241
 
2.8%
241
 
2.8%
a241
 
2.8%
s241
 
2.8%
Other values (4)868
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7173
84.3%
Uppercase Letter1091
 
12.8%
Space Separator241
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1700
23.7%
o1091
15.2%
t1091
15.2%
e1091
15.2%
c1043
14.5%
a241
 
3.4%
s241
 
3.4%
k241
 
3.4%
d241
 
3.4%
n193
 
2.7%
ValueCountFrequency (%)
C657
60.2%
N241
 
22.1%
I193
 
17.7%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8264
97.2%
Common241
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1700
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c1043
12.6%
C657
 
8.0%
N241
 
2.9%
a241
 
2.9%
s241
 
2.9%
k241
 
2.9%
Other values (3)627
 
7.6%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8505
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1043
12.3%
C657
 
7.7%
N241
 
2.8%
241
 
2.8%
a241
 
2.8%
s241
 
2.8%
Other values (4)868
10.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
770 
Not asked
240 
Incorrect
81 

Length

Max length9
Median length7
Mean length7.588450962
Min length7

Characters and Unicode

Total characters8279
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct770
70.6%
Not asked240
 
22.0%
Incorrect81
 
7.4%
2021-03-31T15:33:34.861030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:34.953304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct770
57.9%
not240
 
18.0%
asked240
 
18.0%
incorrect81
 
6.1%

Most occurring characters

ValueCountFrequency (%)
r1702
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c932
11.3%
C770
9.3%
N240
 
2.9%
240
 
2.9%
a240
 
2.9%
s240
 
2.9%
Other values (4)642
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6948
83.9%
Uppercase Letter1091
 
13.2%
Space Separator240
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1702
24.5%
o1091
15.7%
t1091
15.7%
e1091
15.7%
c932
13.4%
a240
 
3.5%
s240
 
3.5%
k240
 
3.5%
d240
 
3.5%
n81
 
1.2%
ValueCountFrequency (%)
C770
70.6%
N240
 
22.0%
I81
 
7.4%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8039
97.1%
Common240
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1702
21.2%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c932
11.6%
C770
9.6%
N240
 
3.0%
a240
 
3.0%
s240
 
3.0%
k240
 
3.0%
Other values (3)402
 
5.0%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8279
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c932
11.3%
C770
9.3%
N240
 
2.9%
240
 
2.9%
a240
 
2.9%
s240
 
2.9%
Other values (4)642
 
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
535 
Incorrect
315 
Not asked
241 

Length

Max length9
Median length9
Mean length8.019248396
Min length7

Characters and Unicode

Total characters8749
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct535
49.0%
Incorrect315
28.9%
Not asked241
22.1%
2021-03-31T15:33:35.155690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:35.236940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct535
40.2%
incorrect315
23.6%
not241
18.1%
asked241
18.1%

Most occurring characters

ValueCountFrequency (%)
r1700
19.4%
c1165
13.3%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C535
 
6.1%
I315
 
3.6%
n315
 
3.6%
N241
 
2.8%
241
 
2.8%
Other values (4)964
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7417
84.8%
Uppercase Letter1091
 
12.5%
Space Separator241
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1700
22.9%
c1165
15.7%
o1091
14.7%
t1091
14.7%
e1091
14.7%
n315
 
4.2%
a241
 
3.2%
s241
 
3.2%
k241
 
3.2%
d241
 
3.2%
ValueCountFrequency (%)
C535
49.0%
I315
28.9%
N241
22.1%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8508
97.2%
Common241
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1700
20.0%
c1165
13.7%
o1091
12.8%
t1091
12.8%
e1091
12.8%
C535
 
6.3%
I315
 
3.7%
n315
 
3.7%
N241
 
2.8%
a241
 
2.8%
Other values (3)723
8.5%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8749
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
19.4%
c1165
13.3%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C535
 
6.1%
I315
 
3.6%
n315
 
3.6%
N241
 
2.8%
241
 
2.8%
Other values (4)964
11.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
787 
Not asked
241 
Incorrect
 
63

Length

Max length9
Median length7
Mean length7.557286893
Min length7

Characters and Unicode

Total characters8245
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct787
72.1%
Not asked241
 
22.1%
Incorrect63
 
5.8%
2021-03-31T15:33:35.457930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:35.537381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct787
59.1%
not241
 
18.1%
asked241
 
18.1%
incorrect63
 
4.7%

Most occurring characters

ValueCountFrequency (%)
r1700
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c913
11.1%
C787
9.5%
N241
 
2.9%
241
 
2.9%
a241
 
2.9%
s241
 
2.9%
Other values (4)608
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6913
83.8%
Uppercase Letter1091
 
13.2%
Space Separator241
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1700
24.6%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c913
13.2%
a241
 
3.5%
s241
 
3.5%
k241
 
3.5%
d241
 
3.5%
n63
 
0.9%
ValueCountFrequency (%)
C787
72.1%
N241
 
22.1%
I63
 
5.8%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8004
97.1%
Common241
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1700
21.2%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c913
11.4%
C787
9.8%
N241
 
3.0%
a241
 
3.0%
s241
 
3.0%
k241
 
3.0%
Other values (3)367
 
4.6%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8245
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c913
11.1%
C787
9.5%
N241
 
2.9%
241
 
2.9%
a241
 
2.9%
s241
 
2.9%
Other values (4)608
 
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
604 
Correct
246 
Not asked
241 

Length

Max length9
Median length9
Mean length8.54903758
Min length7

Characters and Unicode

Total characters9327
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Incorrect604
55.4%
Correct246
22.5%
Not asked241
 
22.1%
2021-03-31T15:33:35.752368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:35.830633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect604
45.3%
correct246
18.5%
not241
 
18.1%
asked241
 
18.1%

Most occurring characters

ValueCountFrequency (%)
r1700
18.2%
c1454
15.6%
o1091
11.7%
t1091
11.7%
e1091
11.7%
I604
 
6.5%
n604
 
6.5%
C246
 
2.6%
N241
 
2.6%
241
 
2.6%
Other values (4)964
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7995
85.7%
Uppercase Letter1091
 
11.7%
Space Separator241
 
2.6%

Most frequent character per category

ValueCountFrequency (%)
r1700
21.3%
c1454
18.2%
o1091
13.6%
t1091
13.6%
e1091
13.6%
n604
 
7.6%
a241
 
3.0%
s241
 
3.0%
k241
 
3.0%
d241
 
3.0%
ValueCountFrequency (%)
I604
55.4%
C246
22.5%
N241
 
22.1%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9086
97.4%
Common241
 
2.6%

Most frequent character per script

ValueCountFrequency (%)
r1700
18.7%
c1454
16.0%
o1091
12.0%
t1091
12.0%
e1091
12.0%
I604
 
6.6%
n604
 
6.6%
C246
 
2.7%
N241
 
2.7%
a241
 
2.7%
Other values (3)723
8.0%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9327
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
18.2%
c1454
15.6%
o1091
11.7%
t1091
11.7%
e1091
11.7%
I604
 
6.5%
n604
 
6.5%
C246
 
2.6%
N241
 
2.6%
241
 
2.6%
Other values (4)964
10.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
773 
Not asked
239 
Incorrect
79 

Length

Max length9
Median length7
Mean length7.582951421
Min length7

Characters and Unicode

Total characters8273
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct773
70.9%
Not asked239
 
21.9%
Incorrect79
 
7.2%
2021-03-31T15:33:36.075785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:36.154082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct773
58.1%
not239
 
18.0%
asked239
 
18.0%
incorrect79
 
5.9%

Most occurring characters

ValueCountFrequency (%)
r1704
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c931
11.3%
C773
9.3%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)636
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6943
83.9%
Uppercase Letter1091
 
13.2%
Space Separator239
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1704
24.5%
o1091
15.7%
t1091
15.7%
e1091
15.7%
c931
13.4%
a239
 
3.4%
s239
 
3.4%
k239
 
3.4%
d239
 
3.4%
n79
 
1.1%
ValueCountFrequency (%)
C773
70.9%
N239
 
21.9%
I79
 
7.2%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8034
97.1%
Common239
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1704
21.2%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c931
11.6%
C773
9.6%
N239
 
3.0%
a239
 
3.0%
s239
 
3.0%
k239
 
3.0%
Other values (3)397
 
4.9%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8273
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c931
11.3%
C773
9.3%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)636
 
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
664 
Not asked
240 
Incorrect
187 

Length

Max length9
Median length7
Mean length7.782768103
Min length7

Characters and Unicode

Total characters8491
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct664
60.9%
Not asked240
 
22.0%
Incorrect187
 
17.1%
2021-03-31T15:33:36.348200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:36.425553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct664
49.9%
not240
 
18.0%
asked240
 
18.0%
incorrect187
 
14.0%

Most occurring characters

ValueCountFrequency (%)
r1702
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1038
12.2%
C664
 
7.8%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)854
10.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7160
84.3%
Uppercase Letter1091
 
12.8%
Space Separator240
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1702
23.8%
o1091
15.2%
t1091
15.2%
e1091
15.2%
c1038
14.5%
a240
 
3.4%
s240
 
3.4%
k240
 
3.4%
d240
 
3.4%
n187
 
2.6%
ValueCountFrequency (%)
C664
60.9%
N240
 
22.0%
I187
 
17.1%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8251
97.2%
Common240
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1702
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c1038
12.6%
C664
 
8.0%
N240
 
2.9%
a240
 
2.9%
s240
 
2.9%
k240
 
2.9%
Other values (3)614
 
7.4%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8491
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
20.0%
o1091
12.8%
t1091
12.8%
e1091
12.8%
c1038
12.2%
C664
 
7.8%
N240
 
2.8%
240
 
2.8%
a240
 
2.8%
s240
 
2.8%
Other values (4)854
10.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
521 
Incorrect
328 
Not asked
242 

Length

Max length9
Median length9
Mean length8.044912924
Min length7

Characters and Unicode

Total characters8777
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct521
47.8%
Incorrect328
30.1%
Not asked242
22.2%
2021-03-31T15:33:36.627294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:36.710992image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct521
39.1%
incorrect328
24.6%
not242
18.2%
asked242
18.2%

Most occurring characters

ValueCountFrequency (%)
r1698
19.3%
c1177
13.4%
o1091
12.4%
t1091
12.4%
e1091
12.4%
C521
 
5.9%
I328
 
3.7%
n328
 
3.7%
N242
 
2.8%
242
 
2.8%
Other values (4)968
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7444
84.8%
Uppercase Letter1091
 
12.4%
Space Separator242
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1698
22.8%
c1177
15.8%
o1091
14.7%
t1091
14.7%
e1091
14.7%
n328
 
4.4%
a242
 
3.3%
s242
 
3.3%
k242
 
3.3%
d242
 
3.3%
ValueCountFrequency (%)
C521
47.8%
I328
30.1%
N242
22.2%
ValueCountFrequency (%)
242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8535
97.2%
Common242
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1698
19.9%
c1177
13.8%
o1091
12.8%
t1091
12.8%
e1091
12.8%
C521
 
6.1%
I328
 
3.8%
n328
 
3.8%
N242
 
2.8%
a242
 
2.8%
Other values (3)726
8.5%
ValueCountFrequency (%)
242
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8777
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1698
19.3%
c1177
13.4%
o1091
12.4%
t1091
12.4%
e1091
12.4%
C521
 
5.9%
I328
 
3.7%
n328
 
3.7%
N242
 
2.8%
242
 
2.8%
Other values (4)968
11.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
471 
Incorrect
378 
Not asked
242 

Length

Max length9
Median length9
Mean length8.136571952
Min length7

Characters and Unicode

Total characters8877
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowIncorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct471
43.2%
Incorrect378
34.6%
Not asked242
22.2%
2021-03-31T15:33:36.910860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:36.995202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct471
35.3%
incorrect378
28.4%
not242
18.2%
asked242
18.2%

Most occurring characters

ValueCountFrequency (%)
r1698
19.1%
c1227
13.8%
o1091
12.3%
t1091
12.3%
e1091
12.3%
C471
 
5.3%
I378
 
4.3%
n378
 
4.3%
N242
 
2.7%
242
 
2.7%
Other values (4)968
10.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7544
85.0%
Uppercase Letter1091
 
12.3%
Space Separator242
 
2.7%

Most frequent character per category

ValueCountFrequency (%)
r1698
22.5%
c1227
16.3%
o1091
14.5%
t1091
14.5%
e1091
14.5%
n378
 
5.0%
a242
 
3.2%
s242
 
3.2%
k242
 
3.2%
d242
 
3.2%
ValueCountFrequency (%)
C471
43.2%
I378
34.6%
N242
22.2%
ValueCountFrequency (%)
242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8635
97.3%
Common242
 
2.7%

Most frequent character per script

ValueCountFrequency (%)
r1698
19.7%
c1227
14.2%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C471
 
5.5%
I378
 
4.4%
n378
 
4.4%
N242
 
2.8%
a242
 
2.8%
Other values (3)726
8.4%
ValueCountFrequency (%)
242
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8877
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1698
19.1%
c1227
13.8%
o1091
12.3%
t1091
12.3%
e1091
12.3%
C471
 
5.3%
I378
 
4.3%
n378
 
4.3%
N242
 
2.7%
242
 
2.7%
Other values (4)968
10.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1070 
Incorrect
 
18
Not asked
 
3

Length

Max length9
Median length7
Mean length7.038496792
Min length7

Characters and Unicode

Total characters7679
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1070
98.1%
Incorrect18
 
1.6%
Not asked3
 
0.3%
2021-03-31T15:33:37.207613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:37.281351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1070
97.8%
incorrect18
 
1.6%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
28.3%
c1106
14.4%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1070
13.9%
I18
 
0.2%
n18
 
0.2%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6585
85.8%
Uppercase Letter1091
 
14.2%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
33.0%
c1106
16.8%
o1091
16.6%
e1091
16.6%
t1091
16.6%
n18
 
0.3%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C1070
98.1%
I18
 
1.6%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7676
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
28.3%
c1106
14.4%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1070
13.9%
I18
 
0.2%
n18
 
0.2%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7679
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
28.3%
c1106
14.4%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1070
13.9%
I18
 
0.2%
n18
 
0.2%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1057 
Incorrect
 
31
Not asked
 
3

Length

Max length9
Median length7
Mean length7.062328139
Min length7

Characters and Unicode

Total characters7705
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1057
96.9%
Incorrect31
 
2.8%
Not asked3
 
0.3%
2021-03-31T15:33:37.475284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:37.559637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1057
96.6%
incorrect31
 
2.8%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
28.2%
c1119
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1057
13.7%
I31
 
0.4%
n31
 
0.4%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6611
85.8%
Uppercase Letter1091
 
14.2%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
32.9%
c1119
16.9%
o1091
16.5%
e1091
16.5%
t1091
16.5%
n31
 
0.5%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C1057
96.9%
I31
 
2.8%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7702
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
28.3%
c1119
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1057
13.7%
I31
 
0.4%
n31
 
0.4%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7705
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
28.2%
c1119
14.5%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1057
13.7%
I31
 
0.4%
n31
 
0.4%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1046 
Incorrect
 
42
Not asked
 
3

Length

Max length9
Median length7
Mean length7.082493126
Min length7

Characters and Unicode

Total characters7727
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1046
95.9%
Incorrect42
 
3.8%
Not asked3
 
0.3%
2021-03-31T15:33:38.029633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:38.107626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1046
95.6%
incorrect42
 
3.8%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
28.2%
c1130
14.6%
o1091
14.1%
e1091
14.1%
t1091
14.1%
C1046
13.5%
I42
 
0.5%
n42
 
0.5%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6633
85.8%
Uppercase Letter1091
 
14.1%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
32.8%
c1130
17.0%
o1091
16.4%
e1091
16.4%
t1091
16.4%
n42
 
0.6%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C1046
95.9%
I42
 
3.8%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7724
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
28.2%
c1130
14.6%
o1091
14.1%
e1091
14.1%
t1091
14.1%
C1046
13.5%
I42
 
0.5%
n42
 
0.5%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7727
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
28.2%
c1130
14.6%
o1091
14.1%
e1091
14.1%
t1091
14.1%
C1046
13.5%
I42
 
0.5%
n42
 
0.5%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
664 
Not asked
243 
One error
105 
> two errors
79 

Length

Max length12
Median length7
Mean length8
Min length7

Characters and Unicode

Total characters8728
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct664
60.9%
Not asked243
 
22.3%
One error105
 
9.6%
> two errors79
 
7.2%
2021-03-31T15:33:38.308213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:38.378348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct664
41.6%
not243
 
15.2%
asked243
 
15.2%
one105
 
6.6%
error105
 
6.6%
errors79
 
4.9%
two79
 
4.9%
79
 
4.9%

Most occurring characters

ValueCountFrequency (%)
r1880
21.5%
e1196
13.7%
o1170
13.4%
t986
11.3%
C664
 
7.6%
c664
 
7.6%
506
 
5.8%
s322
 
3.7%
N243
 
2.8%
a243
 
2.8%
Other values (6)854
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7131
81.7%
Uppercase Letter1012
 
11.6%
Space Separator506
 
5.8%
Math Symbol79
 
0.9%

Most frequent character per category

ValueCountFrequency (%)
r1880
26.4%
e1196
16.8%
o1170
16.4%
t986
13.8%
c664
 
9.3%
s322
 
4.5%
a243
 
3.4%
k243
 
3.4%
d243
 
3.4%
n105
 
1.5%
ValueCountFrequency (%)
C664
65.6%
N243
 
24.0%
O105
 
10.4%
ValueCountFrequency (%)
506
100.0%
ValueCountFrequency (%)
>79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8143
93.3%
Common585
 
6.7%

Most frequent character per script

ValueCountFrequency (%)
r1880
23.1%
e1196
14.7%
o1170
14.4%
t986
12.1%
C664
 
8.2%
c664
 
8.2%
s322
 
4.0%
N243
 
3.0%
a243
 
3.0%
k243
 
3.0%
Other values (4)532
 
6.5%
ValueCountFrequency (%)
506
86.5%
>79
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII8728
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1880
21.5%
e1196
13.7%
o1170
13.4%
t986
11.3%
C664
 
7.6%
c664
 
7.6%
506
 
5.8%
s322
 
3.7%
N243
 
2.8%
a243
 
2.8%
Other values (6)854
9.8%

COGNITIVE EXAM 120-161: (160) SUBTRACTING SEVENS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)0.7%
Missing17
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean3.795158287
Minimum0
Maximum9
Zeros85
Zeros (%)7.8%
Memory size8.6 KiB
2021-03-31T15:33:38.461034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q35
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.702729245
Coefficient of variation (CV)0.4486582946
Kurtosis-0.01735014839
Mean3.795158287
Median Absolute Deviation (MAD)0
Skewness-1.096800598
Sum4076
Variance2.899286881
MonotocityNot monotonic
2021-03-31T15:33:38.583315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5585
53.6%
4173
 
15.9%
197
 
8.9%
085
 
7.8%
380
 
7.3%
252
 
4.8%
92
 
0.2%
(Missing)17
 
1.6%
ValueCountFrequency (%)
085
7.8%
197
8.9%
252
 
4.8%
380
7.3%
4173
15.9%
ValueCountFrequency (%)
92
 
0.2%
5585
53.6%
4173
 
15.9%
380
 
7.3%
252
 
4.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0.0
412 
3.0
256 
2.0
223 
1.0
198 
9.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3273
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0
ValueCountFrequency (%)
0.0412
37.8%
3.0256
23.5%
2.0223
20.4%
1.0198
18.1%
9.02
 
0.2%
2021-03-31T15:33:38.814835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:38.884565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0412
37.8%
3.0256
23.5%
2.0223
20.4%
1.0198
18.1%
9.02
 
0.2%

Most occurring characters

ValueCountFrequency (%)
01503
45.9%
.1091
33.3%
3256
 
7.8%
2223
 
6.8%
1198
 
6.0%
92
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2182
66.7%
Other Punctuation1091
33.3%

Most frequent character per category

ValueCountFrequency (%)
01503
68.9%
3256
 
11.7%
2223
 
10.2%
1198
 
9.1%
92
 
0.1%
ValueCountFrequency (%)
.1091
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3273
100.0%

Most frequent character per script

ValueCountFrequency (%)
01503
45.9%
.1091
33.3%
3256
 
7.8%
2223
 
6.8%
1198
 
6.0%
92
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3273
100.0%

Most frequent character per block

ValueCountFrequency (%)
01503
45.9%
.1091
33.3%
3256
 
7.8%
2223
 
6.8%
1198
 
6.0%
92
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
586 
Incorrect
495 
Not asked
 
10

Length

Max length9
Median length7
Mean length7.925756187
Min length7

Characters and Unicode

Total characters8647
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct586
53.7%
Incorrect495
45.4%
Not asked10
 
0.9%
2021-03-31T15:33:39.109370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:39.192279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct586
53.2%
incorrect495
45.0%
not10
 
0.9%
asked10
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r2162
25.0%
c1576
18.2%
o1091
12.6%
e1091
12.6%
t1091
12.6%
C586
 
6.8%
I495
 
5.7%
n495
 
5.7%
N10
 
0.1%
10
 
0.1%
Other values (4)40
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7546
87.3%
Uppercase Letter1091
 
12.6%
Space Separator10
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
r2162
28.7%
c1576
20.9%
o1091
14.5%
e1091
14.5%
t1091
14.5%
n495
 
6.6%
a10
 
0.1%
s10
 
0.1%
k10
 
0.1%
d10
 
0.1%
ValueCountFrequency (%)
C586
53.7%
I495
45.4%
N10
 
0.9%
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8637
99.9%
Common10
 
0.1%

Most frequent character per script

ValueCountFrequency (%)
r2162
25.0%
c1576
18.2%
o1091
12.6%
e1091
12.6%
t1091
12.6%
C586
 
6.8%
I495
 
5.7%
n495
 
5.7%
N10
 
0.1%
a10
 
0.1%
Other values (3)30
 
0.3%
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8647
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2162
25.0%
c1576
18.2%
o1091
12.6%
e1091
12.6%
t1091
12.6%
C586
 
6.8%
I495
 
5.7%
n495
 
5.7%
N10
 
0.1%
10
 
0.1%
Other values (4)40
 
0.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
613 
Correct
468 
Not asked
 
10

Length

Max length9
Median length9
Mean length8.142071494
Min length7

Characters and Unicode

Total characters8883
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowIncorrect
3rd rowIncorrect
4th rowCorrect
5th rowIncorrect
ValueCountFrequency (%)
Incorrect613
56.2%
Correct468
42.9%
Not asked10
 
0.9%
2021-03-31T15:33:39.411542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:39.492182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect613
55.7%
correct468
42.5%
not10
 
0.9%
asked10
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r2162
24.3%
c1694
19.1%
o1091
12.3%
e1091
12.3%
t1091
12.3%
I613
 
6.9%
n613
 
6.9%
C468
 
5.3%
N10
 
0.1%
10
 
0.1%
Other values (4)40
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7782
87.6%
Uppercase Letter1091
 
12.3%
Space Separator10
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
r2162
27.8%
c1694
21.8%
o1091
14.0%
e1091
14.0%
t1091
14.0%
n613
 
7.9%
a10
 
0.1%
s10
 
0.1%
k10
 
0.1%
d10
 
0.1%
ValueCountFrequency (%)
I613
56.2%
C468
42.9%
N10
 
0.9%
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8873
99.9%
Common10
 
0.1%

Most frequent character per script

ValueCountFrequency (%)
r2162
24.4%
c1694
19.1%
o1091
12.3%
e1091
12.3%
t1091
12.3%
I613
 
6.9%
n613
 
6.9%
C468
 
5.3%
N10
 
0.1%
a10
 
0.1%
Other values (3)30
 
0.3%
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8883
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2162
24.3%
c1694
19.1%
o1091
12.3%
e1091
12.3%
t1091
12.3%
I613
 
6.9%
n613
 
6.9%
C468
 
5.3%
N10
 
0.1%
10
 
0.1%
Other values (4)40
 
0.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
729 
Correct
352 
Not asked
 
10

Length

Max length9
Median length9
Mean length8.35472044
Min length7

Characters and Unicode

Total characters9115
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowIncorrect
4th rowIncorrect
5th rowCorrect
ValueCountFrequency (%)
Incorrect729
66.8%
Correct352
32.3%
Not asked10
 
0.9%
2021-03-31T15:33:39.713457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:39.809150image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect729
66.2%
correct352
32.0%
not10
 
0.9%
asked10
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r2162
23.7%
c1810
19.9%
o1091
12.0%
e1091
12.0%
t1091
12.0%
I729
 
8.0%
n729
 
8.0%
C352
 
3.9%
N10
 
0.1%
10
 
0.1%
Other values (4)40
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8014
87.9%
Uppercase Letter1091
 
12.0%
Space Separator10
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
r2162
27.0%
c1810
22.6%
o1091
13.6%
e1091
13.6%
t1091
13.6%
n729
 
9.1%
a10
 
0.1%
s10
 
0.1%
k10
 
0.1%
d10
 
0.1%
ValueCountFrequency (%)
I729
66.8%
C352
32.3%
N10
 
0.9%
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9105
99.9%
Common10
 
0.1%

Most frequent character per script

ValueCountFrequency (%)
r2162
23.7%
c1810
19.9%
o1091
12.0%
e1091
12.0%
t1091
12.0%
I729
 
8.0%
n729
 
8.0%
C352
 
3.9%
N10
 
0.1%
a10
 
0.1%
Other values (3)30
 
0.3%
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9115
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2162
23.7%
c1810
19.9%
o1091
12.0%
e1091
12.0%
t1091
12.0%
I729
 
8.0%
n729
 
8.0%
C352
 
3.9%
N10
 
0.1%
10
 
0.1%
Other values (4)40
 
0.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Done
858 
Mmse only
232 
Not asked
 
1

Length

Max length9
Median length4
Mean length5.067827681
Min length4

Characters and Unicode

Total characters5529
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowMmse only
2nd rowDone
3rd rowMmse only
4th rowMmse only
5th rowDone
ValueCountFrequency (%)
Done858
78.6%
Mmse only232
 
21.3%
Not asked1
 
0.1%
2021-03-31T15:33:40.013068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:40.087559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
done858
64.8%
only232
 
17.5%
mmse232
 
17.5%
not1
 
0.1%
asked1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
e1091
19.7%
o1091
19.7%
n1090
19.7%
D858
15.5%
s233
 
4.2%
233
 
4.2%
M232
 
4.2%
m232
 
4.2%
l232
 
4.2%
y232
 
4.2%
Other values (5)5
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4205
76.1%
Uppercase Letter1091
 
19.7%
Space Separator233
 
4.2%

Most frequent character per category

ValueCountFrequency (%)
e1091
25.9%
o1091
25.9%
n1090
25.9%
s233
 
5.5%
m232
 
5.5%
l232
 
5.5%
y232
 
5.5%
t1
 
< 0.1%
a1
 
< 0.1%
k1
 
< 0.1%
ValueCountFrequency (%)
D858
78.6%
M232
 
21.3%
N1
 
0.1%
ValueCountFrequency (%)
233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5296
95.8%
Common233
 
4.2%

Most frequent character per script

ValueCountFrequency (%)
e1091
20.6%
o1091
20.6%
n1090
20.6%
D858
16.2%
s233
 
4.4%
M232
 
4.4%
m232
 
4.4%
l232
 
4.4%
y232
 
4.4%
N1
 
< 0.1%
Other values (4)4
 
0.1%
ValueCountFrequency (%)
233
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII5529
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1091
19.7%
o1091
19.7%
n1090
19.7%
D858
15.5%
s233
 
4.2%
233
 
4.2%
M232
 
4.2%
m232
 
4.2%
l232
 
4.2%
y232
 
4.2%
Other values (5)5
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
1069 
Incorrect
 
20
Not asked
 
2

Length

Max length9
Median length7
Mean length7.040329973
Min length7

Characters and Unicode

Total characters7681
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct1069
98.0%
Incorrect20
 
1.8%
Not asked2
 
0.2%
2021-03-31T15:33:40.298925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:40.381933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct1069
97.8%
incorrect20
 
1.8%
not2
 
0.2%
asked2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
r2178
28.4%
c1109
14.4%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1069
13.9%
I20
 
0.3%
n20
 
0.3%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6588
85.8%
Uppercase Letter1091
 
14.2%
Space Separator2
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2178
33.1%
c1109
16.8%
o1091
16.6%
e1091
16.6%
t1091
16.6%
n20
 
0.3%
a2
 
< 0.1%
s2
 
< 0.1%
k2
 
< 0.1%
d2
 
< 0.1%
ValueCountFrequency (%)
C1069
98.0%
I20
 
1.8%
N2
 
0.2%
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7679
> 99.9%
Common2
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2178
28.4%
c1109
14.4%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1069
13.9%
I20
 
0.3%
n20
 
0.3%
N2
 
< 0.1%
a2
 
< 0.1%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7681
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2178
28.4%
c1109
14.4%
o1091
14.2%
e1091
14.2%
t1091
14.2%
C1069
13.9%
I20
 
0.3%
n20
 
0.3%
N2
 
< 0.1%
2
 
< 0.1%
Other values (4)8
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
826 
Not asked
239 
Incorrect
 
26

Length

Max length9
Median length7
Mean length7.485792851
Min length7

Characters and Unicode

Total characters8167
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct826
75.7%
Not asked239
 
21.9%
Incorrect26
 
2.4%
2021-03-31T15:33:40.617272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:40.705445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct826
62.1%
not239
 
18.0%
asked239
 
18.0%
incorrect26
 
2.0%

Most occurring characters

ValueCountFrequency (%)
r1704
20.9%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c878
10.8%
C826
10.1%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)530
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6837
83.7%
Uppercase Letter1091
 
13.4%
Space Separator239
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1704
24.9%
o1091
16.0%
t1091
16.0%
e1091
16.0%
c878
12.8%
a239
 
3.5%
s239
 
3.5%
k239
 
3.5%
d239
 
3.5%
n26
 
0.4%
ValueCountFrequency (%)
C826
75.7%
N239
 
21.9%
I26
 
2.4%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7928
97.1%
Common239
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1704
21.5%
o1091
13.8%
t1091
13.8%
e1091
13.8%
c878
11.1%
C826
10.4%
N239
 
3.0%
a239
 
3.0%
s239
 
3.0%
k239
 
3.0%
Other values (3)291
 
3.7%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8167
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
20.9%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c878
10.8%
C826
10.1%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)530
 
6.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
818 
Incorrect
262 
Not asked
 
11

Length

Max length9
Median length7
Mean length7.500458295
Min length7

Characters and Unicode

Total characters8183
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct818
75.0%
Incorrect262
 
24.0%
Not asked11
 
1.0%
2021-03-31T15:33:40.935106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:41.022701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct818
74.2%
incorrect262
 
23.8%
not11
 
1.0%
asked11
 
1.0%

Most occurring characters

ValueCountFrequency (%)
r2160
26.4%
c1342
16.4%
o1091
13.3%
e1091
13.3%
t1091
13.3%
C818
 
10.0%
I262
 
3.2%
n262
 
3.2%
N11
 
0.1%
11
 
0.1%
Other values (4)44
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7081
86.5%
Uppercase Letter1091
 
13.3%
Space Separator11
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
r2160
30.5%
c1342
19.0%
o1091
15.4%
e1091
15.4%
t1091
15.4%
n262
 
3.7%
a11
 
0.2%
s11
 
0.2%
k11
 
0.2%
d11
 
0.2%
ValueCountFrequency (%)
C818
75.0%
I262
 
24.0%
N11
 
1.0%
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8172
99.9%
Common11
 
0.1%

Most frequent character per script

ValueCountFrequency (%)
r2160
26.4%
c1342
16.4%
o1091
13.4%
e1091
13.4%
t1091
13.4%
C818
 
10.0%
I262
 
3.2%
n262
 
3.2%
N11
 
0.1%
a11
 
0.1%
Other values (3)33
 
0.4%
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8183
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2160
26.4%
c1342
16.4%
o1091
13.3%
e1091
13.3%
t1091
13.3%
C818
 
10.0%
I262
 
3.2%
n262
 
3.2%
N11
 
0.1%
11
 
0.1%
Other values (4)44
 
0.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
673 
Not asked
248 
Incorrect
170 

Length

Max length9
Median length7
Mean length7.766269478
Min length7

Characters and Unicode

Total characters8473
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct673
61.7%
Not asked248
 
22.7%
Incorrect170
 
15.6%
2021-03-31T15:33:41.232449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:41.318392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct673
50.3%
not248
 
18.5%
asked248
 
18.5%
incorrect170
 
12.7%

Most occurring characters

ValueCountFrequency (%)
r1686
19.9%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1013
12.0%
C673
 
7.9%
N248
 
2.9%
248
 
2.9%
a248
 
2.9%
s248
 
2.9%
Other values (4)836
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7134
84.2%
Uppercase Letter1091
 
12.9%
Space Separator248
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1686
23.6%
o1091
15.3%
t1091
15.3%
e1091
15.3%
c1013
14.2%
a248
 
3.5%
s248
 
3.5%
k248
 
3.5%
d248
 
3.5%
n170
 
2.4%
ValueCountFrequency (%)
C673
61.7%
N248
 
22.7%
I170
 
15.6%
ValueCountFrequency (%)
248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8225
97.1%
Common248
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1686
20.5%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c1013
12.3%
C673
 
8.2%
N248
 
3.0%
a248
 
3.0%
s248
 
3.0%
k248
 
3.0%
Other values (3)588
 
7.1%
ValueCountFrequency (%)
248
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8473
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1686
19.9%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1013
12.0%
C673
 
7.9%
N248
 
2.9%
248
 
2.9%
a248
 
2.9%
s248
 
2.9%
Other values (4)836
9.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
612 
Not asked
251 
Incorrect
228 

Length

Max length9
Median length7
Mean length7.878093492
Min length7

Characters and Unicode

Total characters8595
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct612
56.1%
Not asked251
23.0%
Incorrect228
 
20.9%
2021-03-31T15:33:41.547189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:41.631002image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct612
45.6%
not251
18.7%
asked251
18.7%
incorrect228
 
17.0%

Most occurring characters

ValueCountFrequency (%)
r1680
19.5%
o1091
12.7%
t1091
12.7%
e1091
12.7%
c1068
12.4%
C612
 
7.1%
N251
 
2.9%
251
 
2.9%
a251
 
2.9%
s251
 
2.9%
Other values (4)958
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7253
84.4%
Uppercase Letter1091
 
12.7%
Space Separator251
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1680
23.2%
o1091
15.0%
t1091
15.0%
e1091
15.0%
c1068
14.7%
a251
 
3.5%
s251
 
3.5%
k251
 
3.5%
d251
 
3.5%
n228
 
3.1%
ValueCountFrequency (%)
C612
56.1%
N251
23.0%
I228
 
20.9%
ValueCountFrequency (%)
251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8344
97.1%
Common251
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1680
20.1%
o1091
13.1%
t1091
13.1%
e1091
13.1%
c1068
12.8%
C612
 
7.3%
N251
 
3.0%
a251
 
3.0%
s251
 
3.0%
k251
 
3.0%
Other values (3)707
8.5%
ValueCountFrequency (%)
251
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8595
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1680
19.5%
o1091
12.7%
t1091
12.7%
e1091
12.7%
c1068
12.4%
C612
 
7.1%
N251
 
2.9%
251
 
2.9%
a251
 
2.9%
s251
 
2.9%
Other values (4)958
11.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
818 
Not asked
243 
Incorrect
 
30

Length

Max length9
Median length7
Mean length7.500458295
Min length7

Characters and Unicode

Total characters8183
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct818
75.0%
Not asked243
 
22.3%
Incorrect30
 
2.7%
2021-03-31T15:33:41.862289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:41.950148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct818
61.3%
not243
 
18.2%
asked243
 
18.2%
incorrect30
 
2.2%

Most occurring characters

ValueCountFrequency (%)
r1696
20.7%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c878
10.7%
C818
10.0%
N243
 
3.0%
243
 
3.0%
a243
 
3.0%
s243
 
3.0%
Other values (4)546
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6849
83.7%
Uppercase Letter1091
 
13.3%
Space Separator243
 
3.0%

Most frequent character per category

ValueCountFrequency (%)
r1696
24.8%
o1091
15.9%
t1091
15.9%
e1091
15.9%
c878
12.8%
a243
 
3.5%
s243
 
3.5%
k243
 
3.5%
d243
 
3.5%
n30
 
0.4%
ValueCountFrequency (%)
C818
75.0%
N243
 
22.3%
I30
 
2.7%
ValueCountFrequency (%)
243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7940
97.0%
Common243
 
3.0%

Most frequent character per script

ValueCountFrequency (%)
r1696
21.4%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c878
11.1%
C818
10.3%
N243
 
3.1%
a243
 
3.1%
s243
 
3.1%
k243
 
3.1%
Other values (3)303
 
3.8%
ValueCountFrequency (%)
243
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8183
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1696
20.7%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c878
10.7%
C818
10.0%
N243
 
3.0%
243
 
3.0%
a243
 
3.0%
s243
 
3.0%
Other values (4)546
 
6.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
682 
Not asked
243 
Incorrect
166 

Length

Max length9
Median length7
Mean length7.749770852
Min length7

Characters and Unicode

Total characters8455
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct682
62.5%
Not asked243
 
22.3%
Incorrect166
 
15.2%
2021-03-31T15:33:42.165006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:42.250981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct682
51.1%
not243
 
18.2%
asked243
 
18.2%
incorrect166
 
12.4%

Most occurring characters

ValueCountFrequency (%)
r1696
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1014
12.0%
C682
8.1%
N243
 
2.9%
243
 
2.9%
a243
 
2.9%
s243
 
2.9%
Other values (4)818
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7121
84.2%
Uppercase Letter1091
 
12.9%
Space Separator243
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1696
23.8%
o1091
15.3%
t1091
15.3%
e1091
15.3%
c1014
14.2%
a243
 
3.4%
s243
 
3.4%
k243
 
3.4%
d243
 
3.4%
n166
 
2.3%
ValueCountFrequency (%)
C682
62.5%
N243
 
22.3%
I166
 
15.2%
ValueCountFrequency (%)
243
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8212
97.1%
Common243
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1696
20.7%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c1014
12.3%
C682
8.3%
N243
 
3.0%
a243
 
3.0%
s243
 
3.0%
k243
 
3.0%
Other values (3)575
 
7.0%
ValueCountFrequency (%)
243
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8455
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1696
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1014
12.0%
C682
8.1%
N243
 
2.9%
243
 
2.9%
a243
 
2.9%
s243
 
2.9%
Other values (4)818
9.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
548 
Incorrect
299 
Not asked
244 

Length

Max length9
Median length7
Mean length7.995417049
Min length7

Characters and Unicode

Total characters8723
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct548
50.2%
Incorrect299
27.4%
Not asked244
22.4%
2021-03-31T15:33:42.455060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:42.530448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct548
41.0%
incorrect299
22.4%
not244
18.3%
asked244
18.3%

Most occurring characters

ValueCountFrequency (%)
r1694
19.4%
c1146
13.1%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C548
 
6.3%
I299
 
3.4%
n299
 
3.4%
N244
 
2.8%
244
 
2.8%
Other values (4)976
11.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7388
84.7%
Uppercase Letter1091
 
12.5%
Space Separator244
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1694
22.9%
c1146
15.5%
o1091
14.8%
t1091
14.8%
e1091
14.8%
n299
 
4.0%
a244
 
3.3%
s244
 
3.3%
k244
 
3.3%
d244
 
3.3%
ValueCountFrequency (%)
C548
50.2%
I299
27.4%
N244
22.4%
ValueCountFrequency (%)
244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8479
97.2%
Common244
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1694
20.0%
c1146
13.5%
o1091
12.9%
t1091
12.9%
e1091
12.9%
C548
 
6.5%
I299
 
3.5%
n299
 
3.5%
N244
 
2.9%
a244
 
2.9%
Other values (3)732
8.6%
ValueCountFrequency (%)
244
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8723
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1694
19.4%
c1146
13.1%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C548
 
6.3%
I299
 
3.4%
n299
 
3.4%
N244
 
2.8%
244
 
2.8%
Other values (4)976
11.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
970 
Incorrect
110 
Not asked
 
11

Length

Max length9
Median length7
Mean length7.221814849
Min length7

Characters and Unicode

Total characters7879
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIncorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct970
88.9%
Incorrect110
 
10.1%
Not asked11
 
1.0%
2021-03-31T15:33:42.742256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:42.817708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct970
88.0%
incorrect110
 
10.0%
not11
 
1.0%
asked11
 
1.0%

Most occurring characters

ValueCountFrequency (%)
r2160
27.4%
c1190
15.1%
o1091
13.8%
e1091
13.8%
t1091
13.8%
C970
12.3%
I110
 
1.4%
n110
 
1.4%
N11
 
0.1%
11
 
0.1%
Other values (4)44
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6777
86.0%
Uppercase Letter1091
 
13.8%
Space Separator11
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
r2160
31.9%
c1190
17.6%
o1091
16.1%
e1091
16.1%
t1091
16.1%
n110
 
1.6%
a11
 
0.2%
s11
 
0.2%
k11
 
0.2%
d11
 
0.2%
ValueCountFrequency (%)
C970
88.9%
I110
 
10.1%
N11
 
1.0%
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7868
99.9%
Common11
 
0.1%

Most frequent character per script

ValueCountFrequency (%)
r2160
27.5%
c1190
15.1%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C970
12.3%
I110
 
1.4%
n110
 
1.4%
N11
 
0.1%
a11
 
0.1%
Other values (3)33
 
0.4%
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7879
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2160
27.4%
c1190
15.1%
o1091
13.8%
e1091
13.8%
t1091
13.8%
C970
12.3%
I110
 
1.4%
n110
 
1.4%
N11
 
0.1%
11
 
0.1%
Other values (4)44
 
0.6%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
3.0
859 
2.0
168 
1.0
 
46
0.0
 
17
9.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3273
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3.0
2nd row3.0
3rd row3.0
4th row3.0
5th row3.0
ValueCountFrequency (%)
3.0859
78.7%
2.0168
 
15.4%
1.046
 
4.2%
0.017
 
1.6%
9.01
 
0.1%
2021-03-31T15:33:42.999987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:43.067654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0859
78.7%
2.0168
 
15.4%
1.046
 
4.2%
0.017
 
1.6%
9.01
 
0.1%

Most occurring characters

ValueCountFrequency (%)
01108
33.9%
.1091
33.3%
3859
26.2%
2168
 
5.1%
146
 
1.4%
91
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2182
66.7%
Other Punctuation1091
33.3%

Most frequent character per category

ValueCountFrequency (%)
01108
50.8%
3859
39.4%
2168
 
7.7%
146
 
2.1%
91
 
< 0.1%
ValueCountFrequency (%)
.1091
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3273
100.0%

Most frequent character per script

ValueCountFrequency (%)
01108
33.9%
.1091
33.3%
3859
26.2%
2168
 
5.1%
146
 
1.4%
91
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3273
100.0%

Most frequent character per block

ValueCountFrequency (%)
01108
33.9%
.1091
33.3%
3859
26.2%
2168
 
5.1%
146
 
1.4%
91
 
< 0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
997 
Incorrect
 
90
Not asked
 
4

Length

Max length9
Median length7
Mean length7.172318973
Min length7

Characters and Unicode

Total characters7825
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct997
91.4%
Incorrect90
 
8.2%
Not asked4
 
0.4%
2021-03-31T15:33:43.278924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:43.355969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct997
91.1%
incorrect90
 
8.2%
not4
 
0.4%
asked4
 
0.4%

Most occurring characters

ValueCountFrequency (%)
r2174
27.8%
c1177
15.0%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C997
12.7%
I90
 
1.2%
n90
 
1.2%
N4
 
0.1%
4
 
0.1%
Other values (4)16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6730
86.0%
Uppercase Letter1091
 
13.9%
Space Separator4
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
r2174
32.3%
c1177
17.5%
o1091
16.2%
e1091
16.2%
t1091
16.2%
n90
 
1.3%
a4
 
0.1%
s4
 
0.1%
k4
 
0.1%
d4
 
0.1%
ValueCountFrequency (%)
C997
91.4%
I90
 
8.2%
N4
 
0.4%
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7821
99.9%
Common4
 
0.1%

Most frequent character per script

ValueCountFrequency (%)
r2174
27.8%
c1177
15.0%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C997
12.7%
I90
 
1.2%
n90
 
1.2%
N4
 
0.1%
a4
 
0.1%
Other values (3)12
 
0.2%
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7825
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2174
27.8%
c1177
15.0%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C997
12.7%
I90
 
1.2%
n90
 
1.2%
N4
 
0.1%
4
 
0.1%
Other values (4)16
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
998 
Incorrect
 
90
Not asked
 
3

Length

Max length9
Median length7
Mean length7.170485793
Min length7

Characters and Unicode

Total characters7823
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct998
91.5%
Incorrect90
 
8.2%
Not asked3
 
0.3%
2021-03-31T15:33:43.556757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:43.661215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct998
91.2%
incorrect90
 
8.2%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
27.8%
c1178
15.1%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C998
12.8%
I90
 
1.2%
n90
 
1.2%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6729
86.0%
Uppercase Letter1091
 
13.9%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
32.3%
c1178
17.5%
o1091
16.2%
e1091
16.2%
t1091
16.2%
n90
 
1.3%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C998
91.5%
I90
 
8.2%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7820
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
27.8%
c1178
15.1%
o1091
14.0%
e1091
14.0%
t1091
14.0%
C998
12.8%
I90
 
1.2%
n90
 
1.2%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7823
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
27.8%
c1178
15.1%
o1091
13.9%
e1091
13.9%
t1091
13.9%
C998
12.8%
I90
 
1.2%
n90
 
1.2%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
960 
Incorrect
128 
Not asked
 
3

Length

Max length9
Median length7
Mean length7.240146654
Min length7

Characters and Unicode

Total characters7899
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCorrect
2nd rowCorrect
3rd rowCorrect
4th rowCorrect
5th rowCorrect
ValueCountFrequency (%)
Correct960
88.0%
Incorrect128
 
11.7%
Not asked3
 
0.3%
2021-03-31T15:33:43.854716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:43.933175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct960
87.8%
incorrect128
 
11.7%
not3
 
0.3%
asked3
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r2176
27.5%
c1216
15.4%
o1091
13.8%
e1091
13.8%
t1091
13.8%
C960
12.2%
I128
 
1.6%
n128
 
1.6%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6805
86.2%
Uppercase Letter1091
 
13.8%
Space Separator3
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
r2176
32.0%
c1216
17.9%
o1091
16.0%
e1091
16.0%
t1091
16.0%
n128
 
1.9%
a3
 
< 0.1%
s3
 
< 0.1%
k3
 
< 0.1%
d3
 
< 0.1%
ValueCountFrequency (%)
C960
88.0%
I128
 
11.7%
N3
 
0.3%
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7896
> 99.9%
Common3
 
< 0.1%

Most frequent character per script

ValueCountFrequency (%)
r2176
27.6%
c1216
15.4%
o1091
13.8%
e1091
13.8%
t1091
13.8%
C960
12.2%
I128
 
1.6%
n128
 
1.6%
N3
 
< 0.1%
a3
 
< 0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7899
100.0%

Most frequent character per block

ValueCountFrequency (%)
r2176
27.5%
c1216
15.4%
o1091
13.8%
e1091
13.8%
t1091
13.8%
C960
12.2%
I128
 
1.6%
n128
 
1.6%
N3
 
< 0.1%
3
 
< 0.1%
Other values (4)12
 
0.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
806 
Not asked
248 
Incorrect
 
37

Length

Max length9
Median length7
Mean length7.522456462
Min length7

Characters and Unicode

Total characters8207
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct806
73.9%
Not asked248
 
22.7%
Incorrect37
 
3.4%
2021-03-31T15:33:44.154956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:44.236677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct806
60.2%
not248
 
18.5%
asked248
 
18.5%
incorrect37
 
2.8%

Most occurring characters

ValueCountFrequency (%)
r1686
20.5%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c880
10.7%
C806
9.8%
N248
 
3.0%
248
 
3.0%
a248
 
3.0%
s248
 
3.0%
Other values (4)570
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6868
83.7%
Uppercase Letter1091
 
13.3%
Space Separator248
 
3.0%

Most frequent character per category

ValueCountFrequency (%)
r1686
24.5%
o1091
15.9%
t1091
15.9%
e1091
15.9%
c880
12.8%
a248
 
3.6%
s248
 
3.6%
k248
 
3.6%
d248
 
3.6%
n37
 
0.5%
ValueCountFrequency (%)
C806
73.9%
N248
 
22.7%
I37
 
3.4%
ValueCountFrequency (%)
248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7959
97.0%
Common248
 
3.0%

Most frequent character per script

ValueCountFrequency (%)
r1686
21.2%
o1091
13.7%
t1091
13.7%
e1091
13.7%
c880
11.1%
C806
10.1%
N248
 
3.1%
a248
 
3.1%
s248
 
3.1%
k248
 
3.1%
Other values (3)322
 
4.0%
ValueCountFrequency (%)
248
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8207
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1686
20.5%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c880
10.7%
C806
9.8%
N248
 
3.0%
248
 
3.0%
a248
 
3.0%
s248
 
3.0%
Other values (4)570
 
6.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
793 
Not asked
241 
Incorrect
 
29
Poor
 
28

Length

Max length9
Median length7
Mean length7.41796517
Min length4

Characters and Unicode

Total characters8093
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct793
72.7%
Not asked241
 
22.1%
Incorrect29
 
2.7%
Poor28
 
2.6%
2021-03-31T15:33:44.450889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:44.527100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct793
59.5%
not241
 
18.1%
asked241
 
18.1%
incorrect29
 
2.2%
poor28
 
2.1%

Most occurring characters

ValueCountFrequency (%)
r1672
20.7%
o1119
13.8%
t1063
13.1%
e1063
13.1%
c851
10.5%
C793
9.8%
N241
 
3.0%
241
 
3.0%
a241
 
3.0%
s241
 
3.0%
Other values (5)568
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6761
83.5%
Uppercase Letter1091
 
13.5%
Space Separator241
 
3.0%

Most frequent character per category

ValueCountFrequency (%)
r1672
24.7%
o1119
16.6%
t1063
15.7%
e1063
15.7%
c851
12.6%
a241
 
3.6%
s241
 
3.6%
k241
 
3.6%
d241
 
3.6%
n29
 
0.4%
ValueCountFrequency (%)
C793
72.7%
N241
 
22.1%
I29
 
2.7%
P28
 
2.6%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7852
97.0%
Common241
 
3.0%

Most frequent character per script

ValueCountFrequency (%)
r1672
21.3%
o1119
14.3%
t1063
13.5%
e1063
13.5%
c851
10.8%
C793
10.1%
N241
 
3.1%
a241
 
3.1%
s241
 
3.1%
k241
 
3.1%
Other values (4)327
 
4.2%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8093
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1672
20.7%
o1119
13.8%
t1063
13.1%
e1063
13.1%
c851
10.5%
C793
9.8%
N241
 
3.0%
241
 
3.0%
a241
 
3.0%
s241
 
3.0%
Other values (5)568
 
7.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
846 
Not asked
238 
Incorrect
 
7

Length

Max length9
Median length7
Mean length7.449129239
Min length7

Characters and Unicode

Total characters8127
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct846
77.5%
Not asked238
 
21.8%
Incorrect7
 
0.6%
2021-03-31T15:33:44.775047image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:44.854501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct846
63.7%
not238
 
17.9%
asked238
 
17.9%
incorrect7
 
0.5%

Most occurring characters

ValueCountFrequency (%)
r1706
21.0%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c860
10.6%
C846
10.4%
N238
 
2.9%
238
 
2.9%
a238
 
2.9%
s238
 
2.9%
Other values (4)490
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6798
83.6%
Uppercase Letter1091
 
13.4%
Space Separator238
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1706
25.1%
o1091
16.0%
t1091
16.0%
e1091
16.0%
c860
12.7%
a238
 
3.5%
s238
 
3.5%
k238
 
3.5%
d238
 
3.5%
n7
 
0.1%
ValueCountFrequency (%)
C846
77.5%
N238
 
21.8%
I7
 
0.6%
ValueCountFrequency (%)
238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7889
97.1%
Common238
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1706
21.6%
o1091
13.8%
t1091
13.8%
e1091
13.8%
c860
10.9%
C846
10.7%
N238
 
3.0%
a238
 
3.0%
s238
 
3.0%
k238
 
3.0%
Other values (3)252
 
3.2%
ValueCountFrequency (%)
238
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8127
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1706
21.0%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c860
10.6%
C846
10.4%
N238
 
2.9%
238
 
2.9%
a238
 
2.9%
s238
 
2.9%
Other values (4)490
 
6.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
582 
Poor
256 
Not asked
239 
Incorrect
 
14

Length

Max length9
Median length7
Mean length6.759853346
Min length4

Characters and Unicode

Total characters7375
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct582
53.3%
Poor256
23.5%
Not asked239
21.9%
Incorrect14
 
1.3%
2021-03-31T15:33:45.052650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:45.124173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct582
43.8%
poor256
19.2%
not239
18.0%
asked239
18.0%
incorrect14
 
1.1%

Most occurring characters

ValueCountFrequency (%)
r1448
19.6%
o1347
18.3%
t835
11.3%
e835
11.3%
c610
8.3%
C582
7.9%
P256
 
3.5%
N239
 
3.2%
239
 
3.2%
a239
 
3.2%
Other values (5)745
10.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6045
82.0%
Uppercase Letter1091
 
14.8%
Space Separator239
 
3.2%

Most frequent character per category

ValueCountFrequency (%)
r1448
24.0%
o1347
22.3%
t835
13.8%
e835
13.8%
c610
10.1%
a239
 
4.0%
s239
 
4.0%
k239
 
4.0%
d239
 
4.0%
n14
 
0.2%
ValueCountFrequency (%)
C582
53.3%
P256
23.5%
N239
21.9%
I14
 
1.3%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7136
96.8%
Common239
 
3.2%

Most frequent character per script

ValueCountFrequency (%)
r1448
20.3%
o1347
18.9%
t835
11.7%
e835
11.7%
c610
8.5%
C582
8.2%
P256
 
3.6%
N239
 
3.3%
a239
 
3.3%
s239
 
3.3%
Other values (4)506
 
7.1%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7375
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1448
19.6%
o1347
18.3%
t835
11.3%
e835
11.3%
c610
8.3%
C582
7.9%
P256
 
3.5%
N239
 
3.2%
239
 
3.2%
a239
 
3.2%
Other values (5)745
10.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
765 
Not asked
241 
Incorrect
85 

Length

Max length9
Median length7
Mean length7.597616865
Min length7

Characters and Unicode

Total characters8289
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct765
70.1%
Not asked241
 
22.1%
Incorrect85
 
7.8%
2021-03-31T15:33:45.342717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:45.424563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct765
57.4%
not241
 
18.1%
asked241
 
18.1%
incorrect85
 
6.4%

Most occurring characters

ValueCountFrequency (%)
r1700
20.5%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c935
11.3%
C765
9.2%
N241
 
2.9%
241
 
2.9%
a241
 
2.9%
s241
 
2.9%
Other values (4)652
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6957
83.9%
Uppercase Letter1091
 
13.2%
Space Separator241
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1700
24.4%
o1091
15.7%
t1091
15.7%
e1091
15.7%
c935
13.4%
a241
 
3.5%
s241
 
3.5%
k241
 
3.5%
d241
 
3.5%
n85
 
1.2%
ValueCountFrequency (%)
C765
70.1%
N241
 
22.1%
I85
 
7.8%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8048
97.1%
Common241
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1700
21.1%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c935
11.6%
C765
9.5%
N241
 
3.0%
a241
 
3.0%
s241
 
3.0%
k241
 
3.0%
Other values (3)411
 
5.1%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8289
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
20.5%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c935
11.3%
C765
9.2%
N241
 
2.9%
241
 
2.9%
a241
 
2.9%
s241
 
2.9%
Other values (4)652
 
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
679 
Not asked
242 
Incorrect
170 

Length

Max length9
Median length7
Mean length7.755270394
Min length7

Characters and Unicode

Total characters8461
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct679
62.2%
Not asked242
 
22.2%
Incorrect170
 
15.6%
2021-03-31T15:33:45.646500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:46.043366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct679
50.9%
not242
 
18.2%
asked242
 
18.2%
incorrect170
 
12.8%

Most occurring characters

ValueCountFrequency (%)
r1698
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1019
12.0%
C679
 
8.0%
N242
 
2.9%
242
 
2.9%
a242
 
2.9%
s242
 
2.9%
Other values (4)824
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7128
84.2%
Uppercase Letter1091
 
12.9%
Space Separator242
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1698
23.8%
o1091
15.3%
t1091
15.3%
e1091
15.3%
c1019
14.3%
a242
 
3.4%
s242
 
3.4%
k242
 
3.4%
d242
 
3.4%
n170
 
2.4%
ValueCountFrequency (%)
C679
62.2%
N242
 
22.2%
I170
 
15.6%
ValueCountFrequency (%)
242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8219
97.1%
Common242
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1698
20.7%
o1091
13.3%
t1091
13.3%
e1091
13.3%
c1019
12.4%
C679
 
8.3%
N242
 
2.9%
a242
 
2.9%
s242
 
2.9%
k242
 
2.9%
Other values (3)582
 
7.1%
ValueCountFrequency (%)
242
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8461
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1698
20.1%
o1091
12.9%
t1091
12.9%
e1091
12.9%
c1019
12.0%
C679
 
8.0%
N242
 
2.9%
242
 
2.9%
a242
 
2.9%
s242
 
2.9%
Other values (4)824
9.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
571 
Incorrect
280 
Not asked
240 

Length

Max length9
Median length7
Mean length7.953253896
Min length7

Characters and Unicode

Total characters8677
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct571
52.3%
Incorrect280
25.7%
Not asked240
22.0%
2021-03-31T15:33:46.238337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:46.315521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct571
42.9%
incorrect280
21.0%
not240
18.0%
asked240
18.0%

Most occurring characters

ValueCountFrequency (%)
r1702
19.6%
c1131
13.0%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C571
 
6.6%
I280
 
3.2%
n280
 
3.2%
N240
 
2.8%
240
 
2.8%
Other values (4)960
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7346
84.7%
Uppercase Letter1091
 
12.6%
Space Separator240
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1702
23.2%
c1131
15.4%
o1091
14.9%
t1091
14.9%
e1091
14.9%
n280
 
3.8%
a240
 
3.3%
s240
 
3.3%
k240
 
3.3%
d240
 
3.3%
ValueCountFrequency (%)
C571
52.3%
I280
25.7%
N240
22.0%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8437
97.2%
Common240
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1702
20.2%
c1131
13.4%
o1091
12.9%
t1091
12.9%
e1091
12.9%
C571
 
6.8%
I280
 
3.3%
n280
 
3.3%
N240
 
2.8%
a240
 
2.8%
Other values (3)720
8.5%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8677
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
19.6%
c1131
13.0%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C571
 
6.6%
I280
 
3.2%
n280
 
3.2%
N240
 
2.8%
240
 
2.8%
Other values (4)960
11.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
554 
Incorrect
297 
Not asked
240 

Length

Max length9
Median length7
Mean length7.984417965
Min length7

Characters and Unicode

Total characters8711
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct554
50.8%
Incorrect297
27.2%
Not asked240
22.0%
2021-03-31T15:33:46.563791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:46.640386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct554
41.6%
incorrect297
22.3%
not240
18.0%
asked240
18.0%

Most occurring characters

ValueCountFrequency (%)
r1702
19.5%
c1148
13.2%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C554
 
6.4%
I297
 
3.4%
n297
 
3.4%
N240
 
2.8%
240
 
2.8%
Other values (4)960
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7380
84.7%
Uppercase Letter1091
 
12.5%
Space Separator240
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1702
23.1%
c1148
15.6%
o1091
14.8%
t1091
14.8%
e1091
14.8%
n297
 
4.0%
a240
 
3.3%
s240
 
3.3%
k240
 
3.3%
d240
 
3.3%
ValueCountFrequency (%)
C554
50.8%
I297
27.2%
N240
22.0%
ValueCountFrequency (%)
240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8471
97.2%
Common240
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1702
20.1%
c1148
13.6%
o1091
12.9%
t1091
12.9%
e1091
12.9%
C554
 
6.5%
I297
 
3.5%
n297
 
3.5%
N240
 
2.8%
a240
 
2.8%
Other values (3)720
8.5%
ValueCountFrequency (%)
240
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8711
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1702
19.5%
c1148
13.2%
o1091
12.5%
t1091
12.5%
e1091
12.5%
C554
 
6.4%
I297
 
3.4%
n297
 
3.4%
N240
 
2.8%
240
 
2.8%
Other values (4)960
11.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Incorrect
448 
Correct
402 
Not asked
241 

Length

Max length9
Median length9
Mean length8.263061412
Min length7

Characters and Unicode

Total characters9015
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Incorrect448
41.1%
Correct402
36.8%
Not asked241
22.1%
2021-03-31T15:33:46.842232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:46.929246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
incorrect448
33.6%
correct402
30.2%
not241
18.1%
asked241
18.1%

Most occurring characters

ValueCountFrequency (%)
r1700
18.9%
c1298
14.4%
o1091
12.1%
t1091
12.1%
e1091
12.1%
I448
 
5.0%
n448
 
5.0%
C402
 
4.5%
N241
 
2.7%
241
 
2.7%
Other values (4)964
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7683
85.2%
Uppercase Letter1091
 
12.1%
Space Separator241
 
2.7%

Most frequent character per category

ValueCountFrequency (%)
r1700
22.1%
c1298
16.9%
o1091
14.2%
t1091
14.2%
e1091
14.2%
n448
 
5.8%
a241
 
3.1%
s241
 
3.1%
k241
 
3.1%
d241
 
3.1%
ValueCountFrequency (%)
I448
41.1%
C402
36.8%
N241
22.1%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8774
97.3%
Common241
 
2.7%

Most frequent character per script

ValueCountFrequency (%)
r1700
19.4%
c1298
14.8%
o1091
12.4%
t1091
12.4%
e1091
12.4%
I448
 
5.1%
n448
 
5.1%
C402
 
4.6%
N241
 
2.7%
a241
 
2.7%
Other values (3)723
8.2%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9015
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
18.9%
c1298
14.4%
o1091
12.1%
t1091
12.1%
e1091
12.1%
I448
 
5.0%
n448
 
5.0%
C402
 
4.5%
N241
 
2.7%
241
 
2.7%
Other values (4)964
10.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
465 
Incorrect
384 
Not asked
242 

Length

Max length9
Median length9
Mean length8.147571036
Min length7

Characters and Unicode

Total characters8889
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct465
42.6%
Incorrect384
35.2%
Not asked242
22.2%
2021-03-31T15:33:47.128337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:47.213261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct465
34.9%
incorrect384
28.8%
not242
18.2%
asked242
18.2%

Most occurring characters

ValueCountFrequency (%)
r1698
19.1%
c1233
13.9%
o1091
12.3%
t1091
12.3%
e1091
12.3%
C465
 
5.2%
I384
 
4.3%
n384
 
4.3%
N242
 
2.7%
242
 
2.7%
Other values (4)968
10.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7556
85.0%
Uppercase Letter1091
 
12.3%
Space Separator242
 
2.7%

Most frequent character per category

ValueCountFrequency (%)
r1698
22.5%
c1233
16.3%
o1091
14.4%
t1091
14.4%
e1091
14.4%
n384
 
5.1%
a242
 
3.2%
s242
 
3.2%
k242
 
3.2%
d242
 
3.2%
ValueCountFrequency (%)
C465
42.6%
I384
35.2%
N242
22.2%
ValueCountFrequency (%)
242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8647
97.3%
Common242
 
2.7%

Most frequent character per script

ValueCountFrequency (%)
r1698
19.6%
c1233
14.3%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C465
 
5.4%
I384
 
4.4%
n384
 
4.4%
N242
 
2.8%
a242
 
2.8%
Other values (3)726
8.4%
ValueCountFrequency (%)
242
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8889
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1698
19.1%
c1233
13.9%
o1091
12.3%
t1091
12.3%
e1091
12.3%
C465
 
5.2%
I384
 
4.3%
n384
 
4.3%
N242
 
2.7%
242
 
2.7%
Other values (4)968
10.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
582 
Incorrect
268 
Not asked
241 

Length

Max length9
Median length7
Mean length7.933088909
Min length7

Characters and Unicode

Total characters8655
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct582
53.3%
Incorrect268
24.6%
Not asked241
22.1%
2021-03-31T15:33:47.432092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:47.516200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct582
43.7%
incorrect268
20.1%
not241
18.1%
asked241
18.1%

Most occurring characters

ValueCountFrequency (%)
r1700
19.6%
c1118
12.9%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C582
 
6.7%
I268
 
3.1%
n268
 
3.1%
N241
 
2.8%
241
 
2.8%
Other values (4)964
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7323
84.6%
Uppercase Letter1091
 
12.6%
Space Separator241
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1700
23.2%
c1118
15.3%
o1091
14.9%
t1091
14.9%
e1091
14.9%
n268
 
3.7%
a241
 
3.3%
s241
 
3.3%
k241
 
3.3%
d241
 
3.3%
ValueCountFrequency (%)
C582
53.3%
I268
24.6%
N241
22.1%
ValueCountFrequency (%)
241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8414
97.2%
Common241
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1700
20.2%
c1118
13.3%
o1091
13.0%
t1091
13.0%
e1091
13.0%
C582
 
6.9%
I268
 
3.2%
n268
 
3.2%
N241
 
2.9%
a241
 
2.9%
Other values (3)723
8.6%
ValueCountFrequency (%)
241
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8655
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1700
19.6%
c1118
12.9%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C582
 
6.7%
I268
 
3.1%
n268
 
3.1%
N241
 
2.8%
241
 
2.8%
Other values (4)964
11.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
839 
Not asked
239 
Incorrect
 
13

Length

Max length9
Median length7
Mean length7.461961503
Min length7

Characters and Unicode

Total characters8141
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct839
76.9%
Not asked239
 
21.9%
Incorrect13
 
1.2%
2021-03-31T15:33:47.750591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:47.833668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct839
63.1%
not239
 
18.0%
asked239
 
18.0%
incorrect13
 
1.0%

Most occurring characters

ValueCountFrequency (%)
r1704
20.9%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c865
10.6%
C839
10.3%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)504
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6811
83.7%
Uppercase Letter1091
 
13.4%
Space Separator239
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1704
25.0%
o1091
16.0%
t1091
16.0%
e1091
16.0%
c865
12.7%
a239
 
3.5%
s239
 
3.5%
k239
 
3.5%
d239
 
3.5%
n13
 
0.2%
ValueCountFrequency (%)
C839
76.9%
N239
 
21.9%
I13
 
1.2%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7902
97.1%
Common239
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1704
21.6%
o1091
13.8%
t1091
13.8%
e1091
13.8%
c865
10.9%
C839
10.6%
N239
 
3.0%
a239
 
3.0%
s239
 
3.0%
k239
 
3.0%
Other values (3)265
 
3.4%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8141
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
20.9%
o1091
13.4%
t1091
13.4%
e1091
13.4%
c865
10.6%
C839
10.3%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)504
 
6.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
760 
Not asked
239 
Incorrect
92 

Length

Max length9
Median length7
Mean length7.606782768
Min length7

Characters and Unicode

Total characters8299
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct760
69.7%
Not asked239
 
21.9%
Incorrect92
 
8.4%
2021-03-31T15:33:48.041865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:48.123001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct760
57.1%
not239
 
18.0%
asked239
 
18.0%
incorrect92
 
6.9%

Most occurring characters

ValueCountFrequency (%)
r1704
20.5%
o1091
13.1%
t1091
13.1%
e1091
13.1%
c944
11.4%
C760
9.2%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)662
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6969
84.0%
Uppercase Letter1091
 
13.1%
Space Separator239
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1704
24.5%
o1091
15.7%
t1091
15.7%
e1091
15.7%
c944
13.5%
a239
 
3.4%
s239
 
3.4%
k239
 
3.4%
d239
 
3.4%
n92
 
1.3%
ValueCountFrequency (%)
C760
69.7%
N239
 
21.9%
I92
 
8.4%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8060
97.1%
Common239
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1704
21.1%
o1091
13.5%
t1091
13.5%
e1091
13.5%
c944
11.7%
C760
9.4%
N239
 
3.0%
a239
 
3.0%
s239
 
3.0%
k239
 
3.0%
Other values (3)423
 
5.2%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8299
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
20.5%
o1091
13.1%
t1091
13.1%
e1091
13.1%
c944
11.4%
C760
9.2%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)662
 
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
770 
Not asked
239 
Incorrect
82 

Length

Max length9
Median length7
Mean length7.588450962
Min length7

Characters and Unicode

Total characters8279
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct770
70.6%
Not asked239
 
21.9%
Incorrect82
 
7.5%
2021-03-31T15:33:48.338462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:48.421655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct770
57.9%
not239
 
18.0%
asked239
 
18.0%
incorrect82
 
6.2%

Most occurring characters

ValueCountFrequency (%)
r1704
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c934
11.3%
C770
9.3%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)642
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6949
83.9%
Uppercase Letter1091
 
13.2%
Space Separator239
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1704
24.5%
o1091
15.7%
t1091
15.7%
e1091
15.7%
c934
13.4%
a239
 
3.4%
s239
 
3.4%
k239
 
3.4%
d239
 
3.4%
n82
 
1.2%
ValueCountFrequency (%)
C770
70.6%
N239
 
21.9%
I82
 
7.5%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8040
97.1%
Common239
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1704
21.2%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c934
11.6%
C770
9.6%
N239
 
3.0%
a239
 
3.0%
s239
 
3.0%
k239
 
3.0%
Other values (3)403
 
5.0%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8279
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
20.6%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c934
11.3%
C770
9.3%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)642
 
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
570 
Incorrect
282 
Not asked
239 

Length

Max length9
Median length7
Mean length7.955087076
Min length7

Characters and Unicode

Total characters8679
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct570
52.2%
Incorrect282
25.8%
Not asked239
21.9%
2021-03-31T15:33:48.622667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:48.697768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct570
42.9%
incorrect282
21.2%
not239
18.0%
asked239
18.0%

Most occurring characters

ValueCountFrequency (%)
r1704
19.6%
c1134
13.1%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C570
 
6.6%
I282
 
3.2%
n282
 
3.2%
N239
 
2.8%
239
 
2.8%
Other values (4)956
11.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7349
84.7%
Uppercase Letter1091
 
12.6%
Space Separator239
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1704
23.2%
c1134
15.4%
o1091
14.8%
t1091
14.8%
e1091
14.8%
n282
 
3.8%
a239
 
3.3%
s239
 
3.3%
k239
 
3.3%
d239
 
3.3%
ValueCountFrequency (%)
C570
52.2%
I282
25.8%
N239
21.9%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8440
97.2%
Common239
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1704
20.2%
c1134
13.4%
o1091
12.9%
t1091
12.9%
e1091
12.9%
C570
 
6.8%
I282
 
3.3%
n282
 
3.3%
N239
 
2.8%
a239
 
2.8%
Other values (3)717
8.5%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8679
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
19.6%
c1134
13.1%
o1091
12.6%
t1091
12.6%
e1091
12.6%
C570
 
6.6%
I282
 
3.2%
n282
 
3.2%
N239
 
2.8%
239
 
2.8%
Other values (4)956
11.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
608 
Incorrect
244 
Not asked
239 

Length

Max length9
Median length7
Mean length7.885426214
Min length7

Characters and Unicode

Total characters8603
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct608
55.7%
Incorrect244
22.4%
Not asked239
 
21.9%
2021-03-31T15:33:48.908125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:48.986957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct608
45.7%
incorrect244
18.3%
not239
 
18.0%
asked239
 
18.0%

Most occurring characters

ValueCountFrequency (%)
r1704
19.8%
c1096
12.7%
o1091
12.7%
t1091
12.7%
e1091
12.7%
C608
 
7.1%
I244
 
2.8%
n244
 
2.8%
N239
 
2.8%
239
 
2.8%
Other values (4)956
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7273
84.5%
Uppercase Letter1091
 
12.7%
Space Separator239
 
2.8%

Most frequent character per category

ValueCountFrequency (%)
r1704
23.4%
c1096
15.1%
o1091
15.0%
t1091
15.0%
e1091
15.0%
n244
 
3.4%
a239
 
3.3%
s239
 
3.3%
k239
 
3.3%
d239
 
3.3%
ValueCountFrequency (%)
C608
55.7%
I244
22.4%
N239
 
21.9%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8364
97.2%
Common239
 
2.8%

Most frequent character per script

ValueCountFrequency (%)
r1704
20.4%
c1096
13.1%
o1091
13.0%
t1091
13.0%
e1091
13.0%
C608
 
7.3%
I244
 
2.9%
n244
 
2.9%
N239
 
2.9%
a239
 
2.9%
Other values (3)717
8.6%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8603
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
19.8%
c1096
12.7%
o1091
12.7%
t1091
12.7%
e1091
12.7%
C608
 
7.1%
I244
 
2.8%
n244
 
2.8%
N239
 
2.8%
239
 
2.8%
Other values (4)956
11.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Correct
787 
Not asked
239 
Incorrect
 
65

Length

Max length9
Median length7
Mean length7.557286893
Min length7

Characters and Unicode

Total characters8245
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct787
72.1%
Not asked239
 
21.9%
Incorrect65
 
6.0%
2021-03-31T15:33:49.197920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:49.278298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct787
59.2%
not239
 
18.0%
asked239
 
18.0%
incorrect65
 
4.9%

Most occurring characters

ValueCountFrequency (%)
r1704
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c917
11.1%
C787
9.5%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)608
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6915
83.9%
Uppercase Letter1091
 
13.2%
Space Separator239
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1704
24.6%
o1091
15.8%
t1091
15.8%
e1091
15.8%
c917
13.3%
a239
 
3.5%
s239
 
3.5%
k239
 
3.5%
d239
 
3.5%
n65
 
0.9%
ValueCountFrequency (%)
C787
72.1%
N239
 
21.9%
I65
 
6.0%
ValueCountFrequency (%)
239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8006
97.1%
Common239
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1704
21.3%
o1091
13.6%
t1091
13.6%
e1091
13.6%
c917
11.5%
C787
9.8%
N239
 
3.0%
a239
 
3.0%
s239
 
3.0%
k239
 
3.0%
Other values (3)369
 
4.6%
ValueCountFrequency (%)
239
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8245
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1704
20.7%
o1091
13.2%
t1091
13.2%
e1091
13.2%
c917
11.1%
C787
9.5%
N239
 
2.9%
239
 
2.9%
a239
 
2.9%
s239
 
2.9%
Other values (4)608
 
7.4%
Distinct3
Distinct (%)0.3%
Missing1
Missing (%)0.1%
Memory size8.6 KiB
Correct
707 
Not asked
242 
Incorrect
141 

Length

Max length9
Median length7
Mean length7.702752294
Min length7

Characters and Unicode

Total characters8396
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct707
64.8%
Not asked242
 
22.2%
Incorrect141
 
12.9%
(Missing)1
 
0.1%
2021-03-31T15:33:49.488273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:49.569884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct707
53.1%
not242
 
18.2%
asked242
 
18.2%
incorrect141
 
10.6%

Most occurring characters

ValueCountFrequency (%)
r1696
20.2%
o1090
13.0%
t1090
13.0%
e1090
13.0%
c989
11.8%
C707
8.4%
N242
 
2.9%
242
 
2.9%
a242
 
2.9%
s242
 
2.9%
Other values (4)766
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7064
84.1%
Uppercase Letter1090
 
13.0%
Space Separator242
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1696
24.0%
o1090
15.4%
t1090
15.4%
e1090
15.4%
c989
14.0%
a242
 
3.4%
s242
 
3.4%
k242
 
3.4%
d242
 
3.4%
n141
 
2.0%
ValueCountFrequency (%)
C707
64.9%
N242
 
22.2%
I141
 
12.9%
ValueCountFrequency (%)
242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8154
97.1%
Common242
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1696
20.8%
o1090
13.4%
t1090
13.4%
e1090
13.4%
c989
12.1%
C707
8.7%
N242
 
3.0%
a242
 
3.0%
s242
 
3.0%
k242
 
3.0%
Other values (3)524
 
6.4%
ValueCountFrequency (%)
242
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8396
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1696
20.2%
o1090
13.0%
t1090
13.0%
e1090
13.0%
c989
11.8%
C707
8.4%
N242
 
2.9%
242
 
2.9%
a242
 
2.9%
s242
 
2.9%
Other values (4)766
9.1%
Distinct3
Distinct (%)0.3%
Missing1
Missing (%)0.1%
Memory size8.6 KiB
Correct
678 
Not asked
245 
Incorrect
167 

Length

Max length9
Median length7
Mean length7.755963303
Min length7

Characters and Unicode

Total characters8454
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowCorrect
3rd rowNot asked
4th rowNot asked
5th rowCorrect
ValueCountFrequency (%)
Correct678
62.1%
Not asked245
 
22.5%
Incorrect167
 
15.3%
(Missing)1
 
0.1%
2021-03-31T15:33:49.783011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:49.869649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
correct678
50.8%
not245
 
18.4%
asked245
 
18.4%
incorrect167
 
12.5%

Most occurring characters

ValueCountFrequency (%)
r1690
20.0%
o1090
12.9%
t1090
12.9%
e1090
12.9%
c1012
12.0%
C678
8.0%
N245
 
2.9%
245
 
2.9%
a245
 
2.9%
s245
 
2.9%
Other values (4)824
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7119
84.2%
Uppercase Letter1090
 
12.9%
Space Separator245
 
2.9%

Most frequent character per category

ValueCountFrequency (%)
r1690
23.7%
o1090
15.3%
t1090
15.3%
e1090
15.3%
c1012
14.2%
a245
 
3.4%
s245
 
3.4%
k245
 
3.4%
d245
 
3.4%
n167
 
2.3%
ValueCountFrequency (%)
C678
62.2%
N245
 
22.5%
I167
 
15.3%
ValueCountFrequency (%)
245
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8209
97.1%
Common245
 
2.9%

Most frequent character per script

ValueCountFrequency (%)
r1690
20.6%
o1090
13.3%
t1090
13.3%
e1090
13.3%
c1012
12.3%
C678
8.3%
N245
 
3.0%
a245
 
3.0%
s245
 
3.0%
k245
 
3.0%
Other values (3)579
 
7.1%
ValueCountFrequency (%)
245
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8454
100.0%

Most frequent character per block

ValueCountFrequency (%)
r1690
20.0%
o1090
12.9%
t1090
12.9%
e1090
12.9%
c1012
12.0%
C678
8.0%
N245
 
2.9%
245
 
2.9%
a245
 
2.9%
s245
 
2.9%
Other values (4)824
9.7%
Distinct4
Distinct (%)0.4%
Missing1
Missing (%)0.1%
Memory size8.6 KiB
Not asked
877 
Right
180 
Left
 
29
Ambidextrous
 
4

Length

Max length12
Median length9
Mean length8.217431193
Min length4

Characters and Unicode

Total characters8957
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowNot asked
3rd rowNot asked
4th rowNot asked
5th rowNot asked
ValueCountFrequency (%)
Not asked877
80.4%
Right180
 
16.5%
Left29
 
2.7%
Ambidextrous4
 
0.4%
(Missing)1
 
0.1%
2021-03-31T15:33:50.067136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:50.148305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not877
44.6%
asked877
44.6%
right180
 
9.2%
left29
 
1.5%
ambidextrous4
 
0.2%

Most occurring characters

ValueCountFrequency (%)
t1090
12.2%
e910
10.2%
o881
9.8%
s881
9.8%
d881
9.8%
N877
9.8%
877
9.8%
a877
9.8%
k877
9.8%
i184
 
2.1%
Other values (11)622
6.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter6990
78.0%
Uppercase Letter1090
 
12.2%
Space Separator877
 
9.8%

Most frequent character per category

ValueCountFrequency (%)
t1090
15.6%
e910
13.0%
o881
12.6%
s881
12.6%
d881
12.6%
a877
12.5%
k877
12.5%
i184
 
2.6%
g180
 
2.6%
h180
 
2.6%
Other values (6)49
 
0.7%
ValueCountFrequency (%)
N877
80.5%
R180
 
16.5%
L29
 
2.7%
A4
 
0.4%
ValueCountFrequency (%)
877
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8080
90.2%
Common877
 
9.8%

Most frequent character per script

ValueCountFrequency (%)
t1090
13.5%
e910
11.3%
o881
10.9%
s881
10.9%
d881
10.9%
N877
10.9%
a877
10.9%
k877
10.9%
i184
 
2.3%
R180
 
2.2%
Other values (10)442
5.5%
ValueCountFrequency (%)
877
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8957
100.0%

Most frequent character per block

ValueCountFrequency (%)
t1090
12.2%
e910
10.2%
o881
9.8%
s881
9.8%
d881
9.8%
N877
9.8%
877
9.8%
a877
9.8%
k877
9.8%
i184
 
2.1%
Other values (11)622
6.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
568 
Yes
443 
No
80 

Length

Max length9
Median length9
Mean length6.050412466
Min length2

Characters and Unicode

Total characters6601
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowNot asked
3rd rowNot asked
4th rowNot asked
5th rowNot asked
ValueCountFrequency (%)
Not asked568
52.1%
Yes443
40.6%
No80
 
7.3%
2021-03-31T15:33:50.363347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:50.444634image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not568
34.2%
asked568
34.2%
yes443
26.7%
no80
 
4.8%

Most occurring characters

ValueCountFrequency (%)
s1011
15.3%
e1011
15.3%
N648
9.8%
o648
9.8%
t568
8.6%
568
8.6%
a568
8.6%
k568
8.6%
d568
8.6%
Y443
6.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4942
74.9%
Uppercase Letter1091
 
16.5%
Space Separator568
 
8.6%

Most frequent character per category

ValueCountFrequency (%)
s1011
20.5%
e1011
20.5%
o648
13.1%
t568
11.5%
a568
11.5%
k568
11.5%
d568
11.5%
ValueCountFrequency (%)
N648
59.4%
Y443
40.6%
ValueCountFrequency (%)
568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6033
91.4%
Common568
 
8.6%

Most frequent character per script

ValueCountFrequency (%)
s1011
16.8%
e1011
16.8%
N648
10.7%
o648
10.7%
t568
9.4%
a568
9.4%
k568
9.4%
d568
9.4%
Y443
7.3%
ValueCountFrequency (%)
568
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII6601
100.0%

Most frequent character per block

ValueCountFrequency (%)
s1011
15.3%
e1011
15.3%
N648
9.8%
o648
9.8%
t568
8.6%
568
8.6%
a568
8.6%
k568
8.6%
d568
8.6%
Y443
6.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Yes
863 
Not asked
116 
No
110 
Not known
 
2

Length

Max length9
Median length3
Mean length3.54812099
Min length2

Characters and Unicode

Total characters3871
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes
ValueCountFrequency (%)
Yes863
79.1%
Not asked116
 
10.6%
No110
 
10.1%
Not known2
 
0.2%
2021-03-31T15:33:50.641078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:50.714855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
yes863
71.4%
not118
 
9.8%
asked116
 
9.6%
no110
 
9.1%
known2
 
0.2%

Most occurring characters

ValueCountFrequency (%)
e979
25.3%
s979
25.3%
Y863
22.3%
o230
 
5.9%
N228
 
5.9%
t118
 
3.0%
118
 
3.0%
k118
 
3.0%
a116
 
3.0%
d116
 
3.0%
Other values (2)6
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2662
68.8%
Uppercase Letter1091
28.2%
Space Separator118
 
3.0%

Most frequent character per category

ValueCountFrequency (%)
e979
36.8%
s979
36.8%
o230
 
8.6%
t118
 
4.4%
k118
 
4.4%
a116
 
4.4%
d116
 
4.4%
n4
 
0.2%
w2
 
0.1%
ValueCountFrequency (%)
Y863
79.1%
N228
 
20.9%
ValueCountFrequency (%)
118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3753
97.0%
Common118
 
3.0%

Most frequent character per script

ValueCountFrequency (%)
e979
26.1%
s979
26.1%
Y863
23.0%
o230
 
6.1%
N228
 
6.1%
t118
 
3.1%
k118
 
3.1%
a116
 
3.1%
d116
 
3.1%
n4
 
0.1%
ValueCountFrequency (%)
118
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3871
100.0%

Most frequent character per block

ValueCountFrequency (%)
e979
25.3%
s979
25.3%
Y863
22.3%
o230
 
5.9%
N228
 
5.9%
t118
 
3.0%
118
 
3.0%
k118
 
3.0%
a116
 
3.0%
d116
 
3.0%
Other values (2)6
 
0.2%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
838 
Amnestic
122 
Amnestic multiple
115 
Non-amnestic multiple domain
 
10
Non-amnestic single domain
 
6

Length

Max length28
Median length9
Mean length9.99908341
Min length8

Characters and Unicode

Total characters10909
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowNot asked
3rd rowNot asked
4th rowNot asked
5th rowNot asked
ValueCountFrequency (%)
Not asked838
76.8%
Amnestic122
 
11.2%
Amnestic multiple115
 
10.5%
Non-amnestic multiple domain10
 
0.9%
Non-amnestic single domain6
 
0.5%
2021-03-31T15:33:50.917905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:50.999206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not838
40.4%
asked838
40.4%
amnestic237
 
11.4%
multiple125
 
6.0%
non-amnestic16
 
0.8%
domain16
 
0.8%
single6
 
0.3%

Most occurring characters

ValueCountFrequency (%)
e1222
11.2%
t1216
11.1%
s1097
10.1%
985
9.0%
o870
8.0%
a870
8.0%
N854
7.8%
d854
7.8%
k838
7.7%
i400
 
3.7%
Other values (9)1703
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter8817
80.8%
Uppercase Letter1091
 
10.0%
Space Separator985
 
9.0%
Dash Punctuation16
 
0.1%

Most frequent character per category

ValueCountFrequency (%)
e1222
13.9%
t1216
13.8%
s1097
12.4%
o870
9.9%
a870
9.9%
d854
9.7%
k838
9.5%
i400
 
4.5%
m394
 
4.5%
n291
 
3.3%
Other values (5)765
8.7%
ValueCountFrequency (%)
N854
78.3%
A237
 
21.7%
ValueCountFrequency (%)
985
100.0%
ValueCountFrequency (%)
-16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin9908
90.8%
Common1001
 
9.2%

Most frequent character per script

ValueCountFrequency (%)
e1222
12.3%
t1216
12.3%
s1097
11.1%
o870
8.8%
a870
8.8%
N854
8.6%
d854
8.6%
k838
8.5%
i400
 
4.0%
m394
 
4.0%
Other values (7)1293
13.1%
ValueCountFrequency (%)
985
98.4%
-16
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII10909
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1222
11.2%
t1216
11.1%
s1097
10.1%
985
9.0%
o870
8.0%
a870
8.0%
N854
7.8%
d854
7.8%
k838
7.7%
i400
 
3.7%
Other values (9)1703
15.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
712 
No
321 
Yes
 
58

Length

Max length9
Median length9
Mean length6.621448213
Min length2

Characters and Unicode

Total characters7224
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowNot asked
3rd rowNot asked
4th rowNot asked
5th rowNot asked
ValueCountFrequency (%)
Not asked712
65.3%
No321
29.4%
Yes58
 
5.3%
2021-03-31T15:33:51.232623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:51.314746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not712
39.5%
asked712
39.5%
no321
17.8%
yes58
 
3.2%

Most occurring characters

ValueCountFrequency (%)
N1033
14.3%
o1033
14.3%
s770
10.7%
e770
10.7%
t712
9.9%
712
9.9%
a712
9.9%
k712
9.9%
d712
9.9%
Y58
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5421
75.0%
Uppercase Letter1091
 
15.1%
Space Separator712
 
9.9%

Most frequent character per category

ValueCountFrequency (%)
o1033
19.1%
s770
14.2%
e770
14.2%
t712
13.1%
a712
13.1%
k712
13.1%
d712
13.1%
ValueCountFrequency (%)
N1033
94.7%
Y58
 
5.3%
ValueCountFrequency (%)
712
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6512
90.1%
Common712
 
9.9%

Most frequent character per script

ValueCountFrequency (%)
N1033
15.9%
o1033
15.9%
s770
11.8%
e770
11.8%
t712
10.9%
a712
10.9%
k712
10.9%
d712
10.9%
Y58
 
0.9%
ValueCountFrequency (%)
712
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7224
100.0%

Most frequent character per block

ValueCountFrequency (%)
N1033
14.3%
o1033
14.3%
s770
10.7%
e770
10.7%
t712
9.9%
712
9.9%
a712
9.9%
k712
9.9%
d712
9.9%
Y58
 
0.8%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
576 
Mild
354 
Not asked
123 
Moderate
 
35
Severe
 
2

Length

Max length9
Median length2
Mean length3.64436297
Min length2

Characters and Unicode

Total characters3976
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No576
52.8%
Mild354
32.4%
Not asked123
 
11.3%
Moderate35
 
3.2%
Severe2
 
0.2%
Not known1
 
0.1%
2021-03-31T15:33:51.518173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:51.606347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no576
47.4%
mild354
29.1%
not124
 
10.2%
asked123
 
10.1%
moderate35
 
2.9%
severe2
 
0.2%
known1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
o736
18.5%
N700
17.6%
d512
12.9%
M389
9.8%
i354
8.9%
l354
8.9%
e199
 
5.0%
t159
 
4.0%
a158
 
4.0%
124
 
3.1%
Other values (7)291
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2761
69.4%
Uppercase Letter1091
 
27.4%
Space Separator124
 
3.1%

Most frequent character per category

ValueCountFrequency (%)
o736
26.7%
d512
18.5%
i354
12.8%
l354
12.8%
e199
 
7.2%
t159
 
5.8%
a158
 
5.7%
k124
 
4.5%
s123
 
4.5%
r37
 
1.3%
Other values (3)5
 
0.2%
ValueCountFrequency (%)
N700
64.2%
M389
35.7%
S2
 
0.2%
ValueCountFrequency (%)
124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3852
96.9%
Common124
 
3.1%

Most frequent character per script

ValueCountFrequency (%)
o736
19.1%
N700
18.2%
d512
13.3%
M389
10.1%
i354
9.2%
l354
9.2%
e199
 
5.2%
t159
 
4.1%
a158
 
4.1%
k124
 
3.2%
Other values (6)167
 
4.3%
ValueCountFrequency (%)
124
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3976
100.0%

Most frequent character per block

ValueCountFrequency (%)
o736
18.5%
N700
17.6%
d512
12.9%
M389
9.8%
i354
8.9%
l354
8.9%
e199
 
5.0%
t159
 
4.0%
a158
 
4.0%
124
 
3.1%
Other values (7)291
 
7.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Negative
537 
Possible
240 
Probable
191 
Not asked
123 

Length

Max length9
Median length8
Mean length8.112740605
Min length8

Characters and Unicode

Total characters8851
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegative
2nd rowNegative
3rd rowNegative
4th rowNegative
5th rowNegative
ValueCountFrequency (%)
Negative537
49.2%
Possible240
22.0%
Probable191
 
17.5%
Not asked123
 
11.3%
2021-03-31T15:33:51.849682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:51.920410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
negative537
44.2%
possible240
19.8%
probable191
 
15.7%
not123
 
10.1%
asked123
 
10.1%

Most occurring characters

ValueCountFrequency (%)
e1628
18.4%
a851
9.6%
i777
8.8%
N660
7.5%
t660
7.5%
b622
 
7.0%
s603
 
6.8%
o554
 
6.3%
g537
 
6.1%
v537
 
6.1%
Other values (6)1422
16.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
86.3%
Uppercase Letter1091
 
12.3%
Space Separator123
 
1.4%

Most frequent character per category

ValueCountFrequency (%)
e1628
21.3%
a851
11.1%
i777
10.2%
t660
8.6%
b622
 
8.1%
s603
 
7.9%
o554
 
7.3%
g537
 
7.0%
v537
 
7.0%
l431
 
5.6%
Other values (3)437
 
5.7%
ValueCountFrequency (%)
N660
60.5%
P431
39.5%
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8728
98.6%
Common123
 
1.4%

Most frequent character per script

ValueCountFrequency (%)
e1628
18.7%
a851
9.8%
i777
8.9%
N660
7.6%
t660
7.6%
b622
 
7.1%
s603
 
6.9%
o554
 
6.3%
g537
 
6.2%
v537
 
6.2%
Other values (5)1299
14.9%
ValueCountFrequency (%)
123
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8851
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1628
18.4%
a851
9.6%
i777
8.8%
N660
7.5%
t660
7.5%
b622
 
7.0%
s603
 
6.8%
o554
 
6.3%
g537
 
6.1%
v537
 
6.1%
Other values (6)1422
16.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Negative
813 
Not asked
122 
Possible
118 
Probable
 
34
Not known
 
4

Length

Max length9
Median length8
Mean length8.115490376
Min length8

Characters and Unicode

Total characters8854
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegative
2nd rowNegative
3rd rowNegative
4th rowNegative
5th rowNegative
ValueCountFrequency (%)
Negative813
74.5%
Not asked122
 
11.2%
Possible118
 
10.8%
Probable34
 
3.1%
Not known4
 
0.4%
2021-03-31T15:33:52.140306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:52.216785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
negative813
66.8%
not126
 
10.4%
asked122
 
10.0%
possible118
 
9.7%
probable34
 
2.8%
known4
 
0.3%

Most occurring characters

ValueCountFrequency (%)
e1900
21.5%
a969
10.9%
N939
10.6%
t939
10.6%
i931
10.5%
g813
9.2%
v813
9.2%
s358
 
4.0%
o282
 
3.2%
b186
 
2.1%
Other values (8)724
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
86.3%
Uppercase Letter1091
 
12.3%
Space Separator126
 
1.4%

Most frequent character per category

ValueCountFrequency (%)
e1900
24.9%
a969
12.7%
t939
12.3%
i931
12.2%
g813
10.6%
v813
10.6%
s358
 
4.7%
o282
 
3.7%
b186
 
2.4%
l152
 
2.0%
Other values (5)294
 
3.8%
ValueCountFrequency (%)
N939
86.1%
P152
 
13.9%
ValueCountFrequency (%)
126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8728
98.6%
Common126
 
1.4%

Most frequent character per script

ValueCountFrequency (%)
e1900
21.8%
a969
11.1%
N939
10.8%
t939
10.8%
i931
10.7%
g813
9.3%
v813
9.3%
s358
 
4.1%
o282
 
3.2%
b186
 
2.1%
Other values (7)598
 
6.9%
ValueCountFrequency (%)
126
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8854
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1900
21.5%
a969
10.9%
N939
10.6%
t939
10.6%
i931
10.5%
g813
9.2%
v813
9.2%
s358
 
4.0%
o282
 
3.2%
b186
 
2.1%
Other values (8)724
 
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
535 
No
462 
Yes
94 

Length

Max length9
Median length3
Mean length5.518790101
Min length2

Characters and Unicode

Total characters6021
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowNot asked
3rd rowNot asked
4th rowNot asked
5th rowNot asked
ValueCountFrequency (%)
Not asked535
49.0%
No462
42.3%
Yes94
 
8.6%
2021-03-31T15:33:52.442043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:52.521129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not535
32.9%
asked535
32.9%
no462
28.4%
yes94
 
5.8%

Most occurring characters

ValueCountFrequency (%)
N997
16.6%
o997
16.6%
s629
10.4%
e629
10.4%
t535
8.9%
535
8.9%
a535
8.9%
k535
8.9%
d535
8.9%
Y94
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4395
73.0%
Uppercase Letter1091
 
18.1%
Space Separator535
 
8.9%

Most frequent character per category

ValueCountFrequency (%)
o997
22.7%
s629
14.3%
e629
14.3%
t535
12.2%
a535
12.2%
k535
12.2%
d535
12.2%
ValueCountFrequency (%)
N997
91.4%
Y94
 
8.6%
ValueCountFrequency (%)
535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5486
91.1%
Common535
 
8.9%

Most frequent character per script

ValueCountFrequency (%)
N997
18.2%
o997
18.2%
s629
11.5%
e629
11.5%
t535
9.8%
a535
9.8%
k535
9.8%
d535
9.8%
Y94
 
1.7%
ValueCountFrequency (%)
535
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII6021
100.0%

Most frequent character per block

ValueCountFrequency (%)
N997
16.6%
o997
16.6%
s629
10.4%
e629
10.4%
t535
8.9%
535
8.9%
a535
8.9%
k535
8.9%
d535
8.9%
Y94
 
1.6%
Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
1050 
Ad dominant no
 
15
Vad dominant yes
 
13
Ad dominant yes
 
9
Not known
 
2

Length

Max length16
Median length9
Mean length9.212648946
Min length9

Characters and Unicode

Total characters10051
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot asked
2nd rowNot asked
3rd rowNot asked
4th rowNot asked
5th rowNot asked
ValueCountFrequency (%)
Not asked1050
96.2%
Ad dominant no15
 
1.4%
Vad dominant yes13
 
1.2%
Ad dominant yes9
 
0.8%
Not known2
 
0.2%
Vad dominant no2
 
0.2%
2021-03-31T15:33:52.715899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:52.795701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not1052
47.4%
asked1050
47.3%
dominant39
 
1.8%
ad24
 
1.1%
yes22
 
1.0%
no17
 
0.8%
vad15
 
0.7%
known2
 
0.1%

Most occurring characters

ValueCountFrequency (%)
1130
11.2%
d1128
11.2%
o1110
11.0%
a1104
11.0%
t1091
10.9%
s1072
10.7%
e1072
10.7%
N1052
10.5%
k1052
10.5%
n99
 
1.0%
Other values (6)141
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7830
77.9%
Space Separator1130
 
11.2%
Uppercase Letter1091
 
10.9%

Most frequent character per category

ValueCountFrequency (%)
d1128
14.4%
o1110
14.2%
a1104
14.1%
t1091
13.9%
s1072
13.7%
e1072
13.7%
k1052
13.4%
n99
 
1.3%
m39
 
0.5%
i39
 
0.5%
Other values (2)24
 
0.3%
ValueCountFrequency (%)
N1052
96.4%
A24
 
2.2%
V15
 
1.4%
ValueCountFrequency (%)
1130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8921
88.8%
Common1130
 
11.2%

Most frequent character per script

ValueCountFrequency (%)
d1128
12.6%
o1110
12.4%
a1104
12.4%
t1091
12.2%
s1072
12.0%
e1072
12.0%
N1052
11.8%
k1052
11.8%
n99
 
1.1%
m39
 
0.4%
Other values (5)102
 
1.1%
ValueCountFrequency (%)
1130
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII10051
100.0%

Most frequent character per block

ValueCountFrequency (%)
1130
11.2%
d1128
11.2%
o1110
11.0%
a1104
11.0%
t1091
10.9%
s1072
10.7%
e1072
10.7%
N1052
10.5%
k1052
10.5%
n99
 
1.0%
Other values (6)141
 
1.4%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Negative
937 
Not asked
125 
Possible
 
22
Probable
 
7

Length

Max length9
Median length8
Mean length8.114573786
Min length8

Characters and Unicode

Total characters8853
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegative
2nd rowNegative
3rd rowNegative
4th rowNegative
5th rowNegative
ValueCountFrequency (%)
Negative937
85.9%
Not asked125
 
11.5%
Possible22
 
2.0%
Probable7
 
0.6%
2021-03-31T15:33:53.031076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:53.104596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
negative937
77.1%
not125
 
10.3%
asked125
 
10.3%
possible22
 
1.8%
probable7
 
0.6%

Most occurring characters

ValueCountFrequency (%)
e2028
22.9%
a1069
12.1%
N1062
12.0%
t1062
12.0%
i959
10.8%
g937
10.6%
v937
10.6%
s169
 
1.9%
o154
 
1.7%
125
 
1.4%
Other values (6)351
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
86.3%
Uppercase Letter1091
 
12.3%
Space Separator125
 
1.4%

Most frequent character per category

ValueCountFrequency (%)
e2028
26.6%
a1069
14.0%
t1062
13.9%
i959
12.6%
g937
12.3%
v937
12.3%
s169
 
2.2%
o154
 
2.0%
k125
 
1.6%
d125
 
1.6%
Other values (3)72
 
0.9%
ValueCountFrequency (%)
N1062
97.3%
P29
 
2.7%
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8728
98.6%
Common125
 
1.4%

Most frequent character per script

ValueCountFrequency (%)
e2028
23.2%
a1069
12.2%
N1062
12.2%
t1062
12.2%
i959
11.0%
g937
10.7%
v937
10.7%
s169
 
1.9%
o154
 
1.8%
k125
 
1.4%
Other values (5)226
 
2.6%
ValueCountFrequency (%)
125
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8853
100.0%

Most frequent character per block

ValueCountFrequency (%)
e2028
22.9%
a1069
12.1%
N1062
12.0%
t1062
12.0%
i959
10.8%
g937
10.6%
v937
10.6%
s169
 
1.9%
o154
 
1.7%
125
 
1.4%
Other values (6)351
 
4.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Negative
956 
Not asked
132 
Possible
 
3

Length

Max length9
Median length8
Mean length8.120989918
Min length8

Characters and Unicode

Total characters8860
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegative
2nd rowNegative
3rd rowNegative
4th rowNegative
5th rowNegative
ValueCountFrequency (%)
Negative956
87.6%
Not asked132
 
12.1%
Possible3
 
0.3%
2021-03-31T15:33:53.315727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:53.387289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
negative956
78.2%
not132
 
10.8%
asked132
 
10.8%
possible3
 
0.2%

Most occurring characters

ValueCountFrequency (%)
e2047
23.1%
N1088
12.3%
a1088
12.3%
t1088
12.3%
i959
10.8%
g956
10.8%
v956
10.8%
s138
 
1.6%
o135
 
1.5%
132
 
1.5%
Other values (5)273
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
86.2%
Uppercase Letter1091
 
12.3%
Space Separator132
 
1.5%

Most frequent character per category

ValueCountFrequency (%)
e2047
26.8%
a1088
14.2%
t1088
14.2%
i959
12.6%
g956
12.5%
v956
12.5%
s138
 
1.8%
o135
 
1.8%
k132
 
1.7%
d132
 
1.7%
Other values (2)6
 
0.1%
ValueCountFrequency (%)
N1088
99.7%
P3
 
0.3%
ValueCountFrequency (%)
132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8728
98.5%
Common132
 
1.5%

Most frequent character per script

ValueCountFrequency (%)
e2047
23.5%
N1088
12.5%
a1088
12.5%
t1088
12.5%
i959
11.0%
g956
11.0%
v956
11.0%
s138
 
1.6%
o135
 
1.5%
k132
 
1.5%
Other values (4)141
 
1.6%
ValueCountFrequency (%)
132
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8860
100.0%

Most frequent character per block

ValueCountFrequency (%)
e2047
23.1%
N1088
12.3%
a1088
12.3%
t1088
12.3%
i959
10.8%
g956
10.8%
v956
10.8%
s138
 
1.6%
o135
 
1.5%
132
 
1.5%
Other values (5)273
 
3.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
948 
Not asked
127 
Yes
 
16

Length

Max length9
Median length2
Mean length2.829514207
Min length2

Characters and Unicode

Total characters3087
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No948
86.9%
Not asked127
 
11.6%
Yes16
 
1.5%
2021-03-31T15:33:53.582613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:53.691079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no948
77.8%
not127
 
10.4%
asked127
 
10.4%
yes16
 
1.3%

Most occurring characters

ValueCountFrequency (%)
N1075
34.8%
o1075
34.8%
s143
 
4.6%
e143
 
4.6%
t127
 
4.1%
127
 
4.1%
a127
 
4.1%
k127
 
4.1%
d127
 
4.1%
Y16
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1869
60.5%
Uppercase Letter1091
35.3%
Space Separator127
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
o1075
57.5%
s143
 
7.7%
e143
 
7.7%
t127
 
6.8%
a127
 
6.8%
k127
 
6.8%
d127
 
6.8%
ValueCountFrequency (%)
N1075
98.5%
Y16
 
1.5%
ValueCountFrequency (%)
127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2960
95.9%
Common127
 
4.1%

Most frequent character per script

ValueCountFrequency (%)
N1075
36.3%
o1075
36.3%
s143
 
4.8%
e143
 
4.8%
t127
 
4.3%
a127
 
4.3%
k127
 
4.3%
d127
 
4.3%
Y16
 
0.5%
ValueCountFrequency (%)
127
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3087
100.0%

Most frequent character per block

ValueCountFrequency (%)
N1075
34.8%
o1075
34.8%
s143
 
4.6%
e143
 
4.6%
t127
 
4.1%
127
 
4.1%
a127
 
4.1%
k127
 
4.1%
d127
 
4.1%
Y16
 
0.5%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
597 
Negative
480 
Possible
 
11
Probable
 
3

Length

Max length9
Median length9
Mean length8.5472044
Min length8

Characters and Unicode

Total characters9325
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNegative
2nd rowNegative
3rd rowNegative
4th rowNegative
5th rowNegative
ValueCountFrequency (%)
Not asked597
54.7%
Negative480
44.0%
Possible11
 
1.0%
Probable3
 
0.3%
2021-03-31T15:33:53.893638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:53.971759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not597
35.4%
asked597
35.4%
negative480
28.4%
possible11
 
0.7%
probable3
 
0.2%

Most occurring characters

ValueCountFrequency (%)
e1571
16.8%
a1080
11.6%
N1077
11.5%
t1077
11.5%
s619
 
6.6%
o611
 
6.6%
597
 
6.4%
k597
 
6.4%
d597
 
6.4%
i491
 
5.3%
Other values (6)1008
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
81.9%
Uppercase Letter1091
 
11.7%
Space Separator597
 
6.4%

Most frequent character per category

ValueCountFrequency (%)
e1571
20.6%
a1080
14.1%
t1077
14.1%
s619
 
8.1%
o611
 
8.0%
k597
 
7.8%
d597
 
7.8%
i491
 
6.4%
g480
 
6.3%
v480
 
6.3%
Other values (3)34
 
0.4%
ValueCountFrequency (%)
N1077
98.7%
P14
 
1.3%
ValueCountFrequency (%)
597
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8728
93.6%
Common597
 
6.4%

Most frequent character per script

ValueCountFrequency (%)
e1571
18.0%
a1080
12.4%
N1077
12.3%
t1077
12.3%
s619
 
7.1%
o611
 
7.0%
k597
 
6.8%
d597
 
6.8%
i491
 
5.6%
g480
 
5.5%
Other values (5)528
 
6.0%
ValueCountFrequency (%)
597
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9325
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1571
16.8%
a1080
11.6%
N1077
11.5%
t1077
11.5%
s619
 
6.6%
o611
 
6.6%
597
 
6.4%
k597
 
6.4%
d597
 
6.4%
i491
 
5.3%
Other values (6)1008
10.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
945 
Not asked
127 
Yes
 
19

Length

Max length9
Median length2
Mean length2.832263978
Min length2

Characters and Unicode

Total characters3090
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No945
86.6%
Not asked127
 
11.6%
Yes19
 
1.7%
2021-03-31T15:33:54.204607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:54.289376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no945
77.6%
not127
 
10.4%
asked127
 
10.4%
yes19
 
1.6%

Most occurring characters

ValueCountFrequency (%)
N1072
34.7%
o1072
34.7%
s146
 
4.7%
e146
 
4.7%
t127
 
4.1%
127
 
4.1%
a127
 
4.1%
k127
 
4.1%
d127
 
4.1%
Y19
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1872
60.6%
Uppercase Letter1091
35.3%
Space Separator127
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
o1072
57.3%
s146
 
7.8%
e146
 
7.8%
t127
 
6.8%
a127
 
6.8%
k127
 
6.8%
d127
 
6.8%
ValueCountFrequency (%)
N1072
98.3%
Y19
 
1.7%
ValueCountFrequency (%)
127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2963
95.9%
Common127
 
4.1%

Most frequent character per script

ValueCountFrequency (%)
N1072
36.2%
o1072
36.2%
s146
 
4.9%
e146
 
4.9%
t127
 
4.3%
a127
 
4.3%
k127
 
4.3%
d127
 
4.3%
Y19
 
0.6%
ValueCountFrequency (%)
127
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3090
100.0%

Most frequent character per block

ValueCountFrequency (%)
N1072
34.7%
o1072
34.7%
s146
 
4.7%
e146
 
4.7%
t127
 
4.1%
127
 
4.1%
a127
 
4.1%
k127
 
4.1%
d127
 
4.1%
Y19
 
0.6%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Not asked
601 
Negative
477 
Possible
 
12
Probable
 
1

Length

Max length9
Median length9
Mean length8.550870761
Min length8

Characters and Unicode

Total characters9329
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNegative
2nd rowNegative
3rd rowNegative
4th rowNegative
5th rowNegative
ValueCountFrequency (%)
Not asked601
55.1%
Negative477
43.7%
Possible12
 
1.1%
Probable1
 
0.1%
2021-03-31T15:33:54.481046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:54.566583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
not601
35.5%
asked601
35.5%
negative477
28.2%
possible12
 
0.7%
probable1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
e1568
16.8%
a1079
11.6%
N1078
11.6%
t1078
11.6%
s625
 
6.7%
o614
 
6.6%
601
 
6.4%
k601
 
6.4%
d601
 
6.4%
i489
 
5.2%
Other values (6)995
10.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter7637
81.9%
Uppercase Letter1091
 
11.7%
Space Separator601
 
6.4%

Most frequent character per category

ValueCountFrequency (%)
e1568
20.5%
a1079
14.1%
t1078
14.1%
s625
 
8.2%
o614
 
8.0%
k601
 
7.9%
d601
 
7.9%
i489
 
6.4%
g477
 
6.2%
v477
 
6.2%
Other values (3)28
 
0.4%
ValueCountFrequency (%)
N1078
98.8%
P13
 
1.2%
ValueCountFrequency (%)
601
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin8728
93.6%
Common601
 
6.4%

Most frequent character per script

ValueCountFrequency (%)
e1568
18.0%
a1079
12.4%
N1078
12.4%
t1078
12.4%
s625
 
7.2%
o614
 
7.0%
k601
 
6.9%
d601
 
6.9%
i489
 
5.6%
g477
 
5.5%
Other values (5)518
 
5.9%
ValueCountFrequency (%)
601
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9329
100.0%

Most frequent character per block

ValueCountFrequency (%)
e1568
16.8%
a1079
11.6%
N1078
11.6%
t1078
11.6%
s625
 
6.7%
o614
 
6.6%
601
 
6.4%
k601
 
6.4%
d601
 
6.4%
i489
 
5.2%
Other values (6)995
10.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
952 
Not asked
128 
Yes
 
11

Length

Max length9
Median length2
Mean length2.831347388
Min length2

Characters and Unicode

Total characters3089
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No952
87.3%
Not asked128
 
11.7%
Yes11
 
1.0%
2021-03-31T15:33:54.779948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:54.863055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no952
78.1%
not128
 
10.5%
asked128
 
10.5%
yes11
 
0.9%

Most occurring characters

ValueCountFrequency (%)
N1080
35.0%
o1080
35.0%
s139
 
4.5%
e139
 
4.5%
t128
 
4.1%
128
 
4.1%
a128
 
4.1%
k128
 
4.1%
d128
 
4.1%
Y11
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1870
60.5%
Uppercase Letter1091
35.3%
Space Separator128
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
o1080
57.8%
s139
 
7.4%
e139
 
7.4%
t128
 
6.8%
a128
 
6.8%
k128
 
6.8%
d128
 
6.8%
ValueCountFrequency (%)
N1080
99.0%
Y11
 
1.0%
ValueCountFrequency (%)
128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2961
95.9%
Common128
 
4.1%

Most frequent character per script

ValueCountFrequency (%)
N1080
36.5%
o1080
36.5%
s139
 
4.7%
e139
 
4.7%
t128
 
4.3%
a128
 
4.3%
k128
 
4.3%
d128
 
4.3%
Y11
 
0.4%
ValueCountFrequency (%)
128
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3089
100.0%

Most frequent character per block

ValueCountFrequency (%)
N1080
35.0%
o1080
35.0%
s139
 
4.5%
e139
 
4.5%
t128
 
4.1%
128
 
4.1%
a128
 
4.1%
k128
 
4.1%
d128
 
4.1%
Y11
 
0.4%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
960 
Not asked
126 
Yes
 
4
Not known
 
1

Length

Max length9
Median length2
Mean length2.818515124
Min length2

Characters and Unicode

Total characters3075
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No960
88.0%
Not asked126
 
11.5%
Yes4
 
0.4%
Not known1
 
0.1%
2021-03-31T15:33:55.078701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:55.165169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no960
78.8%
not127
 
10.4%
asked126
 
10.3%
yes4
 
0.3%
known1
 
0.1%

Most occurring characters

ValueCountFrequency (%)
o1088
35.4%
N1087
35.3%
s130
 
4.2%
e130
 
4.2%
t127
 
4.1%
127
 
4.1%
k127
 
4.1%
a126
 
4.1%
d126
 
4.1%
Y4
 
0.1%
Other values (2)3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1857
60.4%
Uppercase Letter1091
35.5%
Space Separator127
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
o1088
58.6%
s130
 
7.0%
e130
 
7.0%
t127
 
6.8%
k127
 
6.8%
a126
 
6.8%
d126
 
6.8%
n2
 
0.1%
w1
 
0.1%
ValueCountFrequency (%)
N1087
99.6%
Y4
 
0.4%
ValueCountFrequency (%)
127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2948
95.9%
Common127
 
4.1%

Most frequent character per script

ValueCountFrequency (%)
o1088
36.9%
N1087
36.9%
s130
 
4.4%
e130
 
4.4%
t127
 
4.3%
k127
 
4.3%
a126
 
4.3%
d126
 
4.3%
Y4
 
0.1%
n2
 
0.1%
ValueCountFrequency (%)
127
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3075
100.0%

Most frequent character per block

ValueCountFrequency (%)
o1088
35.4%
N1087
35.3%
s130
 
4.2%
e130
 
4.2%
t127
 
4.1%
127
 
4.1%
k127
 
4.1%
a126
 
4.1%
d126
 
4.1%
Y4
 
0.1%
Other values (2)3
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
956 
Not asked
126 
Yes
 
9

Length

Max length9
Median length2
Mean length2.816681943
Min length2

Characters and Unicode

Total characters3073
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No956
87.6%
Not asked126
 
11.5%
Yes9
 
0.8%
2021-03-31T15:33:55.805277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:55.878535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no956
78.6%
not126
 
10.4%
asked126
 
10.4%
yes9
 
0.7%

Most occurring characters

ValueCountFrequency (%)
N1082
35.2%
o1082
35.2%
s135
 
4.4%
e135
 
4.4%
t126
 
4.1%
126
 
4.1%
a126
 
4.1%
k126
 
4.1%
d126
 
4.1%
Y9
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1856
60.4%
Uppercase Letter1091
35.5%
Space Separator126
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
o1082
58.3%
s135
 
7.3%
e135
 
7.3%
t126
 
6.8%
a126
 
6.8%
k126
 
6.8%
d126
 
6.8%
ValueCountFrequency (%)
N1082
99.2%
Y9
 
0.8%
ValueCountFrequency (%)
126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2947
95.9%
Common126
 
4.1%

Most frequent character per script

ValueCountFrequency (%)
N1082
36.7%
o1082
36.7%
s135
 
4.6%
e135
 
4.6%
t126
 
4.3%
a126
 
4.3%
k126
 
4.3%
d126
 
4.3%
Y9
 
0.3%
ValueCountFrequency (%)
126
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3073
100.0%

Most frequent character per block

ValueCountFrequency (%)
N1082
35.2%
o1082
35.2%
s135
 
4.4%
e135
 
4.4%
t126
 
4.1%
126
 
4.1%
a126
 
4.1%
k126
 
4.1%
d126
 
4.1%
Y9
 
0.3%
Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
None
498 
Mild
158 
No scan
134 
Moderate
130 
Not asked
83 
Other values (2)
88 

Length

Max length9
Median length4
Mean length5.58203483
Min length4

Characters and Unicode

Total characters6090
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot known
2nd rowNone
3rd rowNot known
4th rowNot known
5th rowNone
ValueCountFrequency (%)
None498
45.6%
Mild158
 
14.5%
No scan134
 
12.3%
Moderate130
 
11.9%
Not asked83
 
7.6%
Not known71
 
6.5%
Severe17
 
1.6%
2021-03-31T15:33:56.080975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:56.162644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
none498
36.1%
mild158
 
11.5%
not154
 
11.2%
no134
 
9.7%
scan134
 
9.7%
moderate130
 
9.4%
asked83
 
6.0%
known71
 
5.1%
severe17
 
1.2%

Most occurring characters

ValueCountFrequency (%)
o987
16.2%
e892
14.6%
N786
12.9%
n774
12.7%
d371
 
6.1%
a347
 
5.7%
288
 
4.7%
M288
 
4.7%
t284
 
4.7%
s217
 
3.6%
Other values (8)856
14.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4711
77.4%
Uppercase Letter1091
 
17.9%
Space Separator288
 
4.7%

Most frequent character per category

ValueCountFrequency (%)
o987
21.0%
e892
18.9%
n774
16.4%
d371
 
7.9%
a347
 
7.4%
t284
 
6.0%
s217
 
4.6%
i158
 
3.4%
l158
 
3.4%
k154
 
3.3%
Other values (4)369
 
7.8%
ValueCountFrequency (%)
N786
72.0%
M288
 
26.4%
S17
 
1.6%
ValueCountFrequency (%)
288
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5802
95.3%
Common288
 
4.7%

Most frequent character per script

ValueCountFrequency (%)
o987
17.0%
e892
15.4%
N786
13.5%
n774
13.3%
d371
 
6.4%
a347
 
6.0%
M288
 
5.0%
t284
 
4.9%
s217
 
3.7%
i158
 
2.7%
Other values (7)698
12.0%
ValueCountFrequency (%)
288
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII6090
100.0%

Most frequent character per block

ValueCountFrequency (%)
o987
16.2%
e892
14.6%
N786
12.9%
n774
12.7%
d371
 
6.1%
a347
 
5.7%
288
 
4.7%
M288
 
4.7%
t284
 
4.7%
s217
 
3.6%
Other values (8)856
14.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
496 
Yes
481 
Not asked
114 

Length

Max length9
Median length3
Mean length3.172318973
Min length2

Characters and Unicode

Total characters3461
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo
ValueCountFrequency (%)
No496
45.5%
Yes481
44.1%
Not asked114
 
10.4%
2021-03-31T15:33:56.458871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:56.534163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no496
41.2%
yes481
39.9%
not114
 
9.5%
asked114
 
9.5%

Most occurring characters

ValueCountFrequency (%)
N610
17.6%
o610
17.6%
e595
17.2%
s595
17.2%
Y481
13.9%
t114
 
3.3%
114
 
3.3%
a114
 
3.3%
k114
 
3.3%
d114
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2256
65.2%
Uppercase Letter1091
31.5%
Space Separator114
 
3.3%

Most frequent character per category

ValueCountFrequency (%)
o610
27.0%
e595
26.4%
s595
26.4%
t114
 
5.1%
a114
 
5.1%
k114
 
5.1%
d114
 
5.1%
ValueCountFrequency (%)
N610
55.9%
Y481
44.1%
ValueCountFrequency (%)
114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3347
96.7%
Common114
 
3.3%

Most frequent character per script

ValueCountFrequency (%)
N610
18.2%
o610
18.2%
e595
17.8%
s595
17.8%
Y481
14.4%
t114
 
3.4%
a114
 
3.4%
k114
 
3.4%
d114
 
3.4%
ValueCountFrequency (%)
114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3461
100.0%

Most frequent character per block

ValueCountFrequency (%)
N610
17.6%
o610
17.6%
e595
17.2%
s595
17.2%
Y481
13.9%
t114
 
3.3%
114
 
3.3%
a114
 
3.3%
k114
 
3.3%
d114
 
3.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
No
734 
Yes
220 
Not asked
130 
Not known
 
7

Length

Max length9
Median length2
Mean length3.080659945
Min length2

Characters and Unicode

Total characters3361
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
No734
67.3%
Yes220
 
20.2%
Not asked130
 
11.9%
Not known7
 
0.6%
2021-03-31T15:33:56.781297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:56.858882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
no734
59.8%
yes220
 
17.9%
not137
 
11.2%
asked130
 
10.6%
known7
 
0.6%

Most occurring characters

ValueCountFrequency (%)
o878
26.1%
N871
25.9%
e350
 
10.4%
s350
 
10.4%
Y220
 
6.5%
t137
 
4.1%
137
 
4.1%
k137
 
4.1%
a130
 
3.9%
d130
 
3.9%
Other values (2)21
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2133
63.5%
Uppercase Letter1091
32.5%
Space Separator137
 
4.1%

Most frequent character per category

ValueCountFrequency (%)
o878
41.2%
e350
 
16.4%
s350
 
16.4%
t137
 
6.4%
k137
 
6.4%
a130
 
6.1%
d130
 
6.1%
n14
 
0.7%
w7
 
0.3%
ValueCountFrequency (%)
N871
79.8%
Y220
 
20.2%
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3224
95.9%
Common137
 
4.1%

Most frequent character per script

ValueCountFrequency (%)
o878
27.2%
N871
27.0%
e350
 
10.9%
s350
 
10.9%
Y220
 
6.8%
t137
 
4.2%
k137
 
4.2%
a130
 
4.0%
d130
 
4.0%
n14
 
0.4%
ValueCountFrequency (%)
137
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3361
100.0%

Most frequent character per block

ValueCountFrequency (%)
o878
26.1%
N871
25.9%
e350
 
10.4%
s350
 
10.4%
Y220
 
6.5%
t137
 
4.1%
137
 
4.1%
k137
 
4.1%
a130
 
3.9%
d130
 
3.9%
Other values (2)21
 
0.6%

OPTIMA DIAGNOSES V 2010: DIAGNOSTIC CODE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct13
Distinct (%)1.2%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10.76321101
Minimum0
Maximum9195
Zeros52
Zeros (%)4.8%
Memory size8.6 KiB
2021-03-31T15:33:56.944645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.1
median2
Q34
95-th percentile6
Maximum9195
Range9195
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation278.4496537
Coefficient of variation (CV)25.87050031
Kurtosis1089.816387
Mean10.76321101
Median Absolute Deviation (MAD)1.9
Skewness33.01098161
Sum11731.9
Variance77534.20966
MonotocityNot monotonic
2021-03-31T15:33:57.081902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.1355
32.5%
4206
18.9%
2125
 
11.5%
3121
 
11.1%
689
 
8.2%
0.267
 
6.1%
052
 
4.8%
1033
 
3.0%
124
 
2.2%
913
 
1.2%
Other values (3)5
 
0.5%
ValueCountFrequency (%)
052
 
4.8%
0.1355
32.5%
0.267
 
6.1%
124
 
2.2%
2125
 
11.5%
ValueCountFrequency (%)
91951
 
0.1%
122
 
0.2%
112
 
0.2%
1033
3.0%
913
 
1.2%

Misdiagnosed1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0.0
959 
1.0
132 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3273
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0959
87.9%
1.0132
 
12.1%
2021-03-31T15:33:57.301499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-03-31T15:33:57.370030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0959
87.9%
1.0132
 
12.1%

Most occurring characters

ValueCountFrequency (%)
02050
62.6%
.1091
33.3%
1132
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number2182
66.7%
Other Punctuation1091
33.3%

Most frequent character per category

ValueCountFrequency (%)
02050
94.0%
1132
 
6.0%
ValueCountFrequency (%)
.1091
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common3273
100.0%

Most frequent character per script

ValueCountFrequency (%)
02050
62.6%
.1091
33.3%
1132
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3273
100.0%

Most frequent character per block

ValueCountFrequency (%)
02050
62.6%
.1091
33.3%
1132
 
4.0%

Interactions

2021-03-31T15:33:04.330720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:04.465263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:04.574578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:04.677866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:04.781686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:04.882599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:04.978737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:05.078759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:05.176688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:05.282523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:05.388734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-31T15:33:05.491353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2021-03-31T15:33:57.442863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-03-31T15:33:57.615165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-03-31T15:33:57.778453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-03-31T15:33:58.174595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-03-31T15:34:02.364012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-03-31T15:33:06.160187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-03-31T15:33:15.464716image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-03-31T15:33:18.309366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-03-31T15:33:18.600149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

df_indexAge At EpisodeCOGNITIVE EXAM 120-161: COGNITIVE EXAM 120-161COGNITIVE EXAM 120-161: (120) IDENTIFIES DAY OF WEEKCOGNITIVE EXAM 120-161: (121) IDENTIFIES DATECOGNITIVE EXAM 120-161: (122) IDENTIFIES MONTHCOGNITIVE EXAM 120-161: (123) IDENTIFIES YEARCOGNITIVE EXAM 120-161: (124) IDENTIFIES SEASONCOGNITIVE EXAM 120-161: (125) IDENTIFIES COUNTYCOGNITIVE EXAM 120-161: (126) IDENTIFIES TOWNCOGNITIVE EXAM 120-161: (127) IDENTIFIES STREETS/COUNTRYCOGNITIVE EXAM 120-161: (128) IDENTIFIES FLOORCOGNITIVE EXAM 120-161: (129) IDENTIFIES PRESENT PLACECOGNITIVE EXAM 120-161: (130) COMPREHENDS NODCOGNITIVE EXAM 120-161: (131) COMPREHENDS TOUCHCOGNITIVE EXAM 120-161: (132) COMPREHENDS LOOKCOGNITIVE EXAM 120-161: (133) COMPREHENDS TAPCOGNITIVE EXAM 120-161: (134) COMPREHENDS HOTELCOGNITIVE EXAM 120-161: (135) COMPREHENDS VILLAGECOGNITIVE EXAM 120-161: (136) COMPREHENDS RADIOCOGNITIVE EXAM 120-161: (137) IDENTIFIES OBJECTS: PENCILCOGNITIVE EXAM 120-161: (137) IDENTIFIES OBJECTS: WATCHCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: SHOECOGNITIVE EXAM 120-161: (138) NAMES PICTURES: TYPEWRITERCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: SCALESCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: SUITCASECOGNITIVE EXAM 120-161: (138) NAMES PICTURES: BAROMETERCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: LAMPCOGNITIVE EXAM 120-161: (140) DEFINES HAMMERCOGNITIVE EXAM 120-161: (141) DEFINES CHEMISTCOGNITIVE EXAM 120-161: (142) DEFINES BRIDGECOGNITIVE EXAM 120-161: (143) DEFINES OPINIONCOGNITIVE EXAM 120-161: (144) REPETITIONCOGNITIVE EXAM 120-161: (145) DESCRIPTIONCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: SHOECOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: TYPEWRITERCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: SCALESCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: SUITCASECOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: BAROMETERCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: LAMPCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: SHOECOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: TYPEWRITERCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: SCALESCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: SUITCASECOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: BAROMETERCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: LAMPCOGNITIVE EXAM 120-161: (148) REMEMBERS WW1 DATECOGNITIVE EXAM 120-161: (149) REMEMBERS WW2 DATECOGNITIVE EXAM 120-161: (150) REMEMBERS HITLERCOGNITIVE EXAM 120-161: (151) REMEMBERS STALINCOGNITIVE EXAM 120-161: (152) REMEMBERS MAE WESTCOGNITIVE EXAM 120-161: (153) REMEMBERS LINDBERGHCOGNITIVE EXAM 120-161: (154) KNOWS MONARCHCOGNITIVE EXAM 120-161: (155) KNOWS HEIR TO THRONECOGNITIVE EXAM 120-161: (156) KNOWS PRIME MINISTERCOGNITIVE EXAM 120-161: (157) KNOWS RECENT NEWS ITEMCOGNITIVE EXAM 120-161: (158) REGISTERS OBJECTS 1: APPLECOGNITIVE EXAM 120-161: (158) REGISTERS OBJECTS 2: TABLECOGNITIVE EXAM 120-161: (158) REGISTERS OBJECTS 3: PENNYCOGNITIVE EXAM 120-161: (159) COUNTING BACKWARDSCOGNITIVE EXAM 120-161: (160) SUBTRACTING SEVENSCOGNITIVE EXAM 120-161: (161) RECALLS OBJECTS_3COGNITIVE EXAM 120-161: (161) RECALLS OBJECTS 1: APPLECOGNITIVE EXAM 120-161: (161) RECALLS OBJECTS 2: TABLECOGNITIVE EXAM 120-161: (161) RECALLS OBJECTS 3: PENNYCOGNITIVE EXAM 162-187: COGNITIVE EXAM 162-187COGNITIVE EXAM 162-187: (162) READING COMPREHENSION 1COGNITIVE EXAM 162-187: (163) READING COMPREHENSION 2COGNITIVE EXAM 162-187: (164) DRAWS PENTAGONCOGNITIVE EXAM 162-187: (165) DRAWS SPIRALCOGNITIVE EXAM 162-187: (166) DRAWS HOUSECOGNITIVE EXAM 162-187: (167) CLOCK DRAWING: CIRCLECOGNITIVE EXAM 162-187: (167) CLOCK DRAWING: NUMBERSCOGNITIVE EXAM 162-187: (167) CLOCK DRAWING: TIMECOGNITIVE EXAM 162-187: (168) WRITES A SENTENCECOGNITIVE EXAM 162-187: (169) PRAXIS - PAPERCOGNITIVE EXAM 162-187: (169) PRAXIS - PAPER: RIGHT HANDCOGNITIVE EXAM 162-187: (169) PRAXIS - PAPER: FOLDSCOGNITIVE EXAM 162-187: (169) PRAXIS - PAPER: ON LAPCOGNITIVE EXAM 162-187: (170) PRAXIS - ENVELOPECOGNITIVE EXAM 162-187: (171) DICTATIONCOGNITIVE EXAM 162-187: (172) MIME - WAVECOGNITIVE EXAM 162-187: (173) MIME - SCISSORSCOGNITIVE EXAM 162-187: (176) ADDS UP MONEYCOGNITIVE EXAM 162-187: (177) SUBTRACTS MONEYCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: JOHNCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: BROWNCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: D42COGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: WESTCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: BEDFORDCOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: SPECTACLESCOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: SHOECOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: PURSECOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: CUPCOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: TELEPHONECOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: PIPECOGNITIVE EXAM 162-187: (185) RECOGNISE PERSONCOGNITIVE EXAM 162-187: (186) ABLE TO GUESS TIMECOGNITIVE EXAM 162-187: HANDEDOPTIMA DIAGNOSES V 2010: SMCOPTIMA DIAGNOSES V 2010: COGNITIVE IMPAIRMENTOPTIMA DIAGNOSES V 2010: PETERSEN MCI TYPEOPTIMA DIAGNOSES V 2010: VCIOPTIMA DIAGNOSES V 2010: DEMENTIA PRESENTOPTIMA DIAGNOSES V 2010: AD (NINCDS-ADSDA)OPTIMA DIAGNOSES V 2010: VASCULAR DEMENTIAOPTIMA DIAGNOSES V 2010: MIXED DEMENTIAOPTIMA DIAGNOSES V 2010: MIXED DEMENTIA TYPEOPTIMA DIAGNOSES V 2010: FRONTO-TEMPORAL DEMENTIAOPTIMA DIAGNOSES V 2010: CORTICO-BASAL DEGENERATIONOPTIMA DIAGNOSES V 2010: LEWY-BODY DISEASEOPTIMA DIAGNOSES V 2010: LEWY-BODY DISEASE SEVERITYOPTIMA DIAGNOSES V 2010: PARKINSON DISEASEOPTIMA DIAGNOSES V 2010: PARKINSON DISEASE SEVERITYOPTIMA DIAGNOSES V 2010: OTHER PARKINSONIAN SYNDROMEOPTIMA DIAGNOSES V 2010: PROGRESSIVE SUPRA-NUCLEAR PALSYOPTIMA DIAGNOSES V 2010: DEMENTIA OTHEROPTIMA DIAGNOSES V 2010: CERBRO-VASCULAR DISEASE PRESENTOPTIMA DIAGNOSES V 2010: CEREBRO-VASCULAR RISK FACTORSOPTIMA DIAGNOSES V 2010: OTHER SYSTEMIC ILLNESS AFFECTING COGNITIONOPTIMA DIAGNOSES V 2010: DIAGNOSTIC CODEMisdiagnosed1
011376.0Mmse onlyCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectCorrectNot asked4.03.0CorrectCorrectCorrectMmse onlyCorrectNot askedCorrectNot askedNot askedNot askedNot askedNot askedIncorrect3.0CorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedYesNot askedNot askedNoNegativeNegativeNot askedNot askedNegativeNegativeNoNegativeNoNegativeNoNoNoNot knownNoNo0.10.0
111477.0DoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectIncorrectCorrectCorrectCorrectCorrectCorrectIncorrectAdequateCorrectIncorrectIncorrectIncorrectIncorrectIncorrectCorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectIncorrectCorrectCorrectCorrectCorrect5.02.0CorrectIncorrectCorrectDoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedNot askedYesNot askedNot askedNoNegativeNegativeNot askedNot askedNegativeNegativeNoNegativeNoNegativeNoNoNoNoneNoNo0.10.0
211679.0Mmse onlyCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectCorrectNot asked5.01.0CorrectIncorrectIncorrectMmse onlyCorrectNot askedCorrectNot askedNot askedNot askedNot askedNot askedCorrect3.0CorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedYesNot askedNot askedNoNegativeNegativeNot askedNot askedNegativeNegativeNoNegativeNoNegativeNoNoNoNot knownYesNo0.10.0
311780.0Mmse onlyCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectCorrectNot asked5.02.0CorrectCorrectIncorrectMmse onlyCorrectNot askedCorrectNot askedNot askedNot askedNot askedNot askedCorrect3.0CorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedYesNot askedNot askedNoNegativeNegativeNot askedNot askedNegativeNegativeNoNegativeNoNegativeNoNoNoNot knownNoNo0.10.0
411880.0DoneCorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectAppropriateCorrectIncorrectIncorrectIncorrectIncorrectIncorrectCorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect5.02.0CorrectIncorrectCorrectDoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedNot askedYesNot askedNot askedNoNegativeNegativeNot askedNot askedNegativeNegativeNoNegativeNoNegativeNoNoNoNoneNoNo0.10.0
511981.0Mmse onlyCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedCorrectCorrectCorrectNot asked5.03.0CorrectCorrectCorrectMmse onlyCorrectNot askedCorrectNot askedNot askedNot askedNot askedNot askedCorrect3.0CorrectCorrectCorrectNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedNot askedYesNot askedNot askedNoNegativeNegativeNot askedNot askedNegativeNegativeNoNegativeNoNegativeNoNoNoNot knownYesNo0.11.0
612985.0DoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectAdequateIncorrectCorrectIncorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect5.03.0CorrectCorrectCorrectDoneCorrectCorrectCorrectIncorrectCorrectCorrectCorrectIncorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedYesYesAmnesticYesNoNegativeNegativeNoNot askedNegativeNegativeNoNot askedNoNot askedNoNoNoModerateYesNo0.20.0
713085.0DoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectAdequateIncorrectCorrectCorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect5.03.0CorrectCorrectCorrectDoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectNot askedYesYesAmnesticYesNoNegativeNegativeNoNot askedNegativeNegativeNoNot askedNoNot askedNoNoNoModerateYesNo0.20.0
813185.0DoneCorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectAdequateCorrectCorrectCorrectIncorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect4.03.0CorrectCorrectCorrectDoneCorrectCorrectCorrectIncorrectCorrectCorrectCorrectIncorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectPoorCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectRightNot askedYesAmnesticYesNoNegativeNegativeNoNot askedNegativeNegativeNoNot askedNoNot askedNoNoNoModerateYesNo0.20.0
913286.0DoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectAdequateCorrectIncorrectCorrectCorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect5.03.0CorrectCorrectCorrectDoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectRightYesYesNot askedYesNoNegativeNegativeNoNot askedNegativeNegativeNoNot askedNoNot askedNoNoNoModerateYesNo0.20.0

Last rows

df_indexAge At EpisodeCOGNITIVE EXAM 120-161: COGNITIVE EXAM 120-161COGNITIVE EXAM 120-161: (120) IDENTIFIES DAY OF WEEKCOGNITIVE EXAM 120-161: (121) IDENTIFIES DATECOGNITIVE EXAM 120-161: (122) IDENTIFIES MONTHCOGNITIVE EXAM 120-161: (123) IDENTIFIES YEARCOGNITIVE EXAM 120-161: (124) IDENTIFIES SEASONCOGNITIVE EXAM 120-161: (125) IDENTIFIES COUNTYCOGNITIVE EXAM 120-161: (126) IDENTIFIES TOWNCOGNITIVE EXAM 120-161: (127) IDENTIFIES STREETS/COUNTRYCOGNITIVE EXAM 120-161: (128) IDENTIFIES FLOORCOGNITIVE EXAM 120-161: (129) IDENTIFIES PRESENT PLACECOGNITIVE EXAM 120-161: (130) COMPREHENDS NODCOGNITIVE EXAM 120-161: (131) COMPREHENDS TOUCHCOGNITIVE EXAM 120-161: (132) COMPREHENDS LOOKCOGNITIVE EXAM 120-161: (133) COMPREHENDS TAPCOGNITIVE EXAM 120-161: (134) COMPREHENDS HOTELCOGNITIVE EXAM 120-161: (135) COMPREHENDS VILLAGECOGNITIVE EXAM 120-161: (136) COMPREHENDS RADIOCOGNITIVE EXAM 120-161: (137) IDENTIFIES OBJECTS: PENCILCOGNITIVE EXAM 120-161: (137) IDENTIFIES OBJECTS: WATCHCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: SHOECOGNITIVE EXAM 120-161: (138) NAMES PICTURES: TYPEWRITERCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: SCALESCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: SUITCASECOGNITIVE EXAM 120-161: (138) NAMES PICTURES: BAROMETERCOGNITIVE EXAM 120-161: (138) NAMES PICTURES: LAMPCOGNITIVE EXAM 120-161: (140) DEFINES HAMMERCOGNITIVE EXAM 120-161: (141) DEFINES CHEMISTCOGNITIVE EXAM 120-161: (142) DEFINES BRIDGECOGNITIVE EXAM 120-161: (143) DEFINES OPINIONCOGNITIVE EXAM 120-161: (144) REPETITIONCOGNITIVE EXAM 120-161: (145) DESCRIPTIONCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: SHOECOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: TYPEWRITERCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: SCALESCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: SUITCASECOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: BAROMETERCOGNITIVE EXAM 120-161: (146) RECALLS OBJECTS: LAMPCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: SHOECOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: TYPEWRITERCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: SCALESCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: SUITCASECOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: BAROMETERCOGNITIVE EXAM 120-161: (147) RECOGNISES PICTURES: LAMPCOGNITIVE EXAM 120-161: (148) REMEMBERS WW1 DATECOGNITIVE EXAM 120-161: (149) REMEMBERS WW2 DATECOGNITIVE EXAM 120-161: (150) REMEMBERS HITLERCOGNITIVE EXAM 120-161: (151) REMEMBERS STALINCOGNITIVE EXAM 120-161: (152) REMEMBERS MAE WESTCOGNITIVE EXAM 120-161: (153) REMEMBERS LINDBERGHCOGNITIVE EXAM 120-161: (154) KNOWS MONARCHCOGNITIVE EXAM 120-161: (155) KNOWS HEIR TO THRONECOGNITIVE EXAM 120-161: (156) KNOWS PRIME MINISTERCOGNITIVE EXAM 120-161: (157) KNOWS RECENT NEWS ITEMCOGNITIVE EXAM 120-161: (158) REGISTERS OBJECTS 1: APPLECOGNITIVE EXAM 120-161: (158) REGISTERS OBJECTS 2: TABLECOGNITIVE EXAM 120-161: (158) REGISTERS OBJECTS 3: PENNYCOGNITIVE EXAM 120-161: (159) COUNTING BACKWARDSCOGNITIVE EXAM 120-161: (160) SUBTRACTING SEVENSCOGNITIVE EXAM 120-161: (161) RECALLS OBJECTS_3COGNITIVE EXAM 120-161: (161) RECALLS OBJECTS 1: APPLECOGNITIVE EXAM 120-161: (161) RECALLS OBJECTS 2: TABLECOGNITIVE EXAM 120-161: (161) RECALLS OBJECTS 3: PENNYCOGNITIVE EXAM 162-187: COGNITIVE EXAM 162-187COGNITIVE EXAM 162-187: (162) READING COMPREHENSION 1COGNITIVE EXAM 162-187: (163) READING COMPREHENSION 2COGNITIVE EXAM 162-187: (164) DRAWS PENTAGONCOGNITIVE EXAM 162-187: (165) DRAWS SPIRALCOGNITIVE EXAM 162-187: (166) DRAWS HOUSECOGNITIVE EXAM 162-187: (167) CLOCK DRAWING: CIRCLECOGNITIVE EXAM 162-187: (167) CLOCK DRAWING: NUMBERSCOGNITIVE EXAM 162-187: (167) CLOCK DRAWING: TIMECOGNITIVE EXAM 162-187: (168) WRITES A SENTENCECOGNITIVE EXAM 162-187: (169) PRAXIS - PAPERCOGNITIVE EXAM 162-187: (169) PRAXIS - PAPER: RIGHT HANDCOGNITIVE EXAM 162-187: (169) PRAXIS - PAPER: FOLDSCOGNITIVE EXAM 162-187: (169) PRAXIS - PAPER: ON LAPCOGNITIVE EXAM 162-187: (170) PRAXIS - ENVELOPECOGNITIVE EXAM 162-187: (171) DICTATIONCOGNITIVE EXAM 162-187: (172) MIME - WAVECOGNITIVE EXAM 162-187: (173) MIME - SCISSORSCOGNITIVE EXAM 162-187: (176) ADDS UP MONEYCOGNITIVE EXAM 162-187: (177) SUBTRACTS MONEYCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: JOHNCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: BROWNCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: D42COGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: WESTCOGNITIVE EXAM 162-187: (178) RECALLS ADDRESS: BEDFORDCOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: SPECTACLESCOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: SHOECOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: PURSECOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: CUPCOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: TELEPHONECOGNITIVE EXAM 162-187: (184) RECOGNISES OBJECTS: PIPECOGNITIVE EXAM 162-187: (185) RECOGNISE PERSONCOGNITIVE EXAM 162-187: (186) ABLE TO GUESS TIMECOGNITIVE EXAM 162-187: HANDEDOPTIMA DIAGNOSES V 2010: SMCOPTIMA DIAGNOSES V 2010: COGNITIVE IMPAIRMENTOPTIMA DIAGNOSES V 2010: PETERSEN MCI TYPEOPTIMA DIAGNOSES V 2010: VCIOPTIMA DIAGNOSES V 2010: DEMENTIA PRESENTOPTIMA DIAGNOSES V 2010: AD (NINCDS-ADSDA)OPTIMA DIAGNOSES V 2010: VASCULAR DEMENTIAOPTIMA DIAGNOSES V 2010: MIXED DEMENTIAOPTIMA DIAGNOSES V 2010: MIXED DEMENTIA TYPEOPTIMA DIAGNOSES V 2010: FRONTO-TEMPORAL DEMENTIAOPTIMA DIAGNOSES V 2010: CORTICO-BASAL DEGENERATIONOPTIMA DIAGNOSES V 2010: LEWY-BODY DISEASEOPTIMA DIAGNOSES V 2010: LEWY-BODY DISEASE SEVERITYOPTIMA DIAGNOSES V 2010: PARKINSON DISEASEOPTIMA DIAGNOSES V 2010: PARKINSON DISEASE SEVERITYOPTIMA DIAGNOSES V 2010: OTHER PARKINSONIAN SYNDROMEOPTIMA DIAGNOSES V 2010: PROGRESSIVE SUPRA-NUCLEAR PALSYOPTIMA DIAGNOSES V 2010: DEMENTIA OTHEROPTIMA DIAGNOSES V 2010: CERBRO-VASCULAR DISEASE PRESENTOPTIMA DIAGNOSES V 2010: CEREBRO-VASCULAR RISK FACTORSOPTIMA DIAGNOSES V 2010: OTHER SYSTEMIC ILLNESS AFFECTING COGNITIONOPTIMA DIAGNOSES V 2010: DIAGNOSTIC CODEMisdiagnosed1
1081955479.0DoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectIncorrectAdequateIncorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect5.03.0CorrectCorrectCorrectDoneCorrectCorrectCorrectCorrectCorrectCorrectIncorrectIncorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectRightYesYesNon-amnestic single domainNoNoNegativeNegativeNoNot askedNegativeNegativeNoNot askedNoNot askedNoNoNoNoneNoNo0.10.0
1082955580.0DoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectAdequateIncorrectIncorrectIncorrectIncorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectOne error4.03.0CorrectCorrectCorrectDoneCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrect3.0CorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectCorrectRightYesNoNot askedNoNoNegativeNegativeNoNot askedNegativeNegativeNoNot askedNoNot askedNoNoNoNoneNoNo6.00.0
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